Bioinformatics in Toruń Conference
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About this event
BioInformatics in Torun Conference
Event type: Bioinformatics, computational biology, life sciences data analysis, genomics, research computing, biotech innovation, academic and industry networking
Estimated attendance: Typically expected to be a specialized, high-value niche audience of researchers, academics, biotech professionals, data scientists, software vendors, and life-sciences decision-makers. If you want, I can refine this further once you share the exact event year, venue, and official event page.
This conference is best understood as a specialized scientific and industry meeting focused on how data, algorithms, software, and biological research intersect. Unlike broad medical or general technology events, a bioinformatics conference attracts a highly qualified audience that usually includes people who influence purchasing decisions for research software, cloud computing, lab informatics, sequencing tools, analytics platforms, and data management solutions.
1️⃣ Who attends: Buyers / Attendees
The buyer audience for a bioinformatics conference is typically a mix of academic, clinical, research, and commercial professionals. The strongest attendees are usually not general visitors; they are people involved in research workflows, data analysis, lab operations, genomics, and computational infrastructure.
- Bioinformaticians and computational biologists
- Genomics researchers and molecular biologists
- Principal investigators, lab heads, and research directors
- University professors, PhD students, postdocs, and research fellows
- Healthcare informatics and translational research professionals
- R&D heads from biotech, pharma, and diagnostics companies
- Software vendors for bioinformatics, LIMS, sequencing, AI/ML, and cloud analytics
- Data scientists working in life sciences and healthcare
- Core facility managers, laboratory IT staff, and research computing teams
- Government, public health, and research institute stakeholders
For attendee list selling, the most valuable records are usually not only scientists, but also decision-makers who influence budgets for tools, subscriptions, infrastructure, training, and partnerships.
2️⃣ Where the show is happening + attendee geographic origin
Location: Toruń, Poland.
Toruń is an important academic city in Poland, which makes it a strong setting for a research-led conference. Events held here generally draw a core audience from Poland and surrounding Central and Eastern European research communities, with selective participation from broader European and international attendees depending on the speaker lineup and partner organizations.
Likely geographic origin of attendees:
- Poland: primary local and national audience
- Central Europe: strong regional participation from nearby countries
- Europe: academic and industry participants from broader EU markets
- Global: a smaller but valuable group from international research, biotech, and software ecosystems
Because this is a specialist scientific conference, the audience is usually more concentrated and more qualified than a mass-market exhibition.
3️⃣ Audience reach
Reach type: Primarily national and regional, with strong international potential.
The event is likely strongest within Poland and nearby European research networks, but bioinformatics is a globally connected discipline. That means the event may also attract international speakers, sponsors, exhibitors, and collaboration-focused organizations. For buyer targeting, this is helpful because the audience often includes people who are active in cross-border research, procurement, and scientific partnerships.
4️⃣ Sample buyer company names + websites
Below is a sample buyer list built for a bioinformatics and life-sciences data audience. These are the types of organizations that usually buy, influence, or strongly benefit from attendee access. I am focusing on organizations that would realistically care about research data, sequencing, analytics, AI, cloud, laboratory software, or life-sciences infrastructure.
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Illumina | illumina.com | Director, Bioinformatics Product Marketing | Sequencing and genomics leader with direct interest in bioinformatics audiences, labs, and research decision-makers. |
| 2 | Thermo Fisher Scientific | thermofisher.com | Senior Manager, Genomics Marketing | Strong fit for life-sciences instruments, software, data workflows, and research customers. |
| 3 | QIAGEN | qiagen.com | Head of Bioinformatics Solutions | Closely aligned with molecular diagnostics, sample prep, data interpretation, and genomics workflows. |
| 4 | 10x Genomics | 10xgenomics.com | Senior Product Manager, Computational Biology | Single-cell and spatial biology company that depends on computational biology and research audiences. |
| 5 | Oxford Nanopore Technologies | nanoporetech.com | Regional Marketing Manager, Genomics | Highly relevant for sequencing, analysis, and bioinformatics workflows across academia and industry. |
| 6 | Agilent Technologies | agilent.com | Life Sciences Marketing Manager | Strong fit for lab technology, analytical workflows, and research lab purchasing teams. |
| 7 | Eurofins Scientific | eurofins.com | Director, R&D Bioinformatics | Large testing and scientific services organization with constant need for data-driven life-sciences talent and tools. |
| 8 | DNAnexus | dnanexus.com | Enterprise Sales Director, Life Sciences | Cloud-based genomic data management platform; excellent buyer fit for a specialist bioinformatics audience. |
| 9 | SOPHiA GENETICS | sophiagenetics.com | Senior Partnerships Manager | Data-driven precision medicine company that benefits from scientific, clinical, and technology buyer engagement. |
| 10 | Genomic Vision | genomicvision.com | Business Development Manager | Relevant for genomics workflows, research partnerships, and scientific market expansion. |
| 11 | Bruker | bruker.com | Product Marketing Manager, Life Sciences | Supports advanced instrumentation and life-science research markets that overlap strongly with bioinformatics. |
| 12 | Waters Corporation | waters.com | Marketing Director, Analytical Sciences | Analytical technologies and laboratory workflows often require data integration and scientific software solutions. |
| 13 | Bio-Rad Laboratories | bio-rad.com | Marketing Manager, Genomics | Strong fit for molecular biology, research tools, and genomic data-driven product positioning. |
| 14 | SciLifeLab | scilifelab.se | Research Infrastructure Manager | Research infrastructure organization with a natural need for bioinformatics tools, collaboration, and data services. |
| 15 | EMBL-EBI | ebi.ac.uk | Scientific Project Manager | One of the most relevant scientific data and bioinformatics ecosystems for collaboration and visibility. |
| 16 | NCBI | ncbi.nlm.nih.gov | Program Manager, Data Resources | Central to biological databases and scientific data infrastructure; highly relevant for research-led events. |
| 17 | Google Cloud | cloud.google.com | Industry Specialist, Healthcare & Life Sciences | Cloud and AI solutions are increasingly important to bioinformatics and genomic analysis teams. |
| 18 | Amazon Web Services | aws.amazon.com | Life Sciences Solutions Architect | Research computing, storage, data pipelines, and AI workloads make this a strong event fit. |
Top 5 recommended companies to approach first: Illumina, Thermo Fisher Scientific, QIAGEN, DNAnexus, and Oxford Nanopore Technologies. These are the strongest matches because they align directly with genomics, sequencing, bioinformatics workflows, and scientific data infrastructure.
5️⃣ Job profiles, industries & event type
Best job profiles to target:
- Bioinformatics Scientist
- Computational Biologist
- Genomics Data Scientist
- Director of Bioinformatics
- Head of Computational Biology
- Research Scientist, Life Sciences Data
- Scientific Software Product Manager
- R&D Director, Genomics
- Laboratory Informatics Manager
- Research Computing Specialist
- Clinical Bioinformatics Lead
- Translational Research Manager
- Business Development Manager, Life Sciences
- Partnerships Manager, Biotechnology
- Product Marketing Manager, Genomics or Life Sciences
Best industry filters from your industry list:
- Biotechnology
- Pharmaceuticals
- Medical Devices
- Health, Wellness & Fitness
- Hospital & Health Care
- Research
- Information Technology & Services
- Computer Software
- Information Services
- Higher Education
- Education Management
- Professional Training & Coaching
- Healthcare informatics-related organizations
- Cloud and data platform companies
- Scientific instrumentation and life sciences technology companies
Event type classification: Scientific conference, research networking event, life sciences technology forum, bioinformatics and computational biology meeting.
6️⃣ Estimated attendance / expected footfall
For a specialized conference like this, attendance usually ranges from a few hundred to a few thousand depending on the organizer, speaker lineup, and partner support. If the event is regional and academic in nature, the attendance may be closer to the lower end; if it is an established international meeting, the number may be significantly higher.
Estimated footfall guidance: 300 to 1,500+ attendees is a reasonable working range for a niche bioinformatics conference, unless the official event page indicates otherwise. The real value here is not mass volume, but audience quality. In a bioinformatics setting, even a smaller audience can be highly monetizable because attendees are often specialists with purchasing influence.
7️⃣ Key focus areas & buyer engagement
The most important thing to understand about this type of event is that buyer intent is usually tied to scientific workflow pain points. People attend because they want better tools, better data handling, stronger pipelines, and stronger collaboration between research and technology teams.
Key focus areas likely include:
- Genomics and sequencing data analysis
- Computational biology methods and algorithms
- Single-cell, spatial, and multi-omics analytics
- AI and machine learning in life sciences
- Research data storage, sharing, and governance
- Cloud computing and high-performance computing for biology
- Clinical bioinformatics and translational research
- Scientific software, databases, and workflow automation
- Laboratory informatics and integration with wet-lab systems
- Collaborations between academia, biotech, pharma, and technology vendors
Buyer engagement angle: the best way to position attendee data from this event is to frame it around innovation, research capability, scientific purchasing, and life-sciences technology adoption. A generic “conference attendee list” pitch is weak. A stronger pitch would be:
“We can help you reach bioinformaticians, genomics researchers, computational biology leaders, lab informatics teams, life sciences software buyers, and biotech R&D decision-makers attending BioInformatics in Torun Conference.”
8️⃣ Client product fit note
Before finalizing the best buyer list, I should review your client website because the right targets change depending on what your client sells. For a bioinformatics conference, the buying behavior is very different for software, data, lab tools, cloud services, staffing, training, or consulting.
Examples of how the buyer list changes by client product:
- If your client sells bioinformatics software, target research directors, computational biology managers, and lab informatics leaders.
- If your client sells cloud or data infrastructure, target research computing teams, data platform leads, and genomics IT decision-makers.
- If your client sells lab instruments or reagents, target biotech companies, sequencing labs, diagnostics firms, and core facilities.
- If your client sells recruiting or staffing services, target biotech HR teams, research organizations, and scientific talent acquisition heads.
- If your client sells training or consulting, target universities, research institutes, and life sciences innovation teams.
If you share your client website, I can narrow this down and tell you the best buyers based on the exact product, industry fit, and buying intent.
9️⃣ Industry suggestions based on the industry list you provided
For this conference, the most relevant industries from your list are:
- Biotechnology
- Pharmaceuticals
- Research
- Computer Software
- Information Technology & Services
- Information Services
- Medical Devices
- Hospital & Health Care
- Higher Education
- Education Management
- Professional Training & Coaching
- Management Consulting
- Marketing & Advertising for scientific vendors and life sciences brands
- Cloud and AI-related technology providers
If you are building filters for attendee extraction, I would prioritize Biotechnology, Pharmaceuticals, Research, Computer Software, Information Technology & Services, and Higher Education first. Those typically produce the cleanest and most commercially useful buyer profiles.
Final recommendation
BioInformatics in Torun Conference is a strong niche event for B2B attendee-list and buyer intelligence selling, especially if your client serves life sciences, genomics, research technology, scientific software, data infrastructure, or biotech services.
It is not a mass-market trade show, so the value comes from precision, not volume. The audience is smaller, but much more specialized and often more relevant for high-intent outreach. This makes it a good event for deep buyer research, account targeting, and lead segmentation.
Best target groups: bioinformatics leaders, genomics researchers, computational biologists, lab informatics managers, biotech R&D teams, scientific software companies, and research infrastructure providers.
Quality rating for B2B attendee-list sales: 8.5/10
Strong fit for specialized life sciences and research buyers. The only limitation is that the audience may be technical and niche, so the value depends heavily on matching the list to your client’s exact product and target titles.
Data sheet
| Event Name | Bioinformatics in Toruń Conference |
| Event Date | 18 Jun 2026 - 20 Jun 2026 |
| Event Status | Completed |
| Venue | Nicolaus Copernicus University |
| City | Toruń |
| State / Region | Poland |
| Country | Poland |
| Organizer | Not publicly confirmed from the supplied data. Venue host is Nicolaus Copernicus University. |
| Official Event Website | Official event page not verified from the supplied data. |
| Event Type | Scientific conference; academic and industry networking event focused on bioinformatics, computational biology, genomics, life-science data analysis, and research computing. |
| Primary Category | Science & Research |
| Secondary Applicable Categories | IT & Technology; Medical & Pharma |
| Audience Reach | Likely national to international specialist reach, centered on academic research, biotech, genomics, computational biology, and research infrastructure communities. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for current-year volume metrics; attendee profile assessment is based on the event theme, venue type, and specialized conference format. |
| Main Purpose of Event | Knowledge exchange, presentation of bioinformatics and computational biology research, academic-industry networking, methods sharing, and potential sourcing of research software, compute infrastructure, sequencing analytics, and data-management tools. |
Bioinformatics in Toruń Conference appears to be a specialized scientific meeting centered on the intersection of biology, data analysis, computing, and genomics. Based on the supplied event description and venue context, the conference is relevant to researchers, principal investigators, computational biologists, research software users, data scientists, and life-science technology stakeholders working across academic and commercial environments.
From a lead-generation perspective, this type of event matters because it tends to gather highly qualified technical and research-side decision influencers rather than broad consumer traffic. It is most relevant for suppliers of bioinformatics platforms, sequencing analytics, laboratory informatics, cloud or HPC infrastructure, scientific software, data management, and research collaboration tools. Procurement cycles may be slower than at purely commercial trade shows, but account quality can be high due to concentrated expert audiences and institution-level buying influence.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Principal investigators and lab heads | Universities, genomics labs, molecular biology institutes, research centers | High technical influence; may define platform, software, data, and collaboration tool requirements | Key for research software, sequencing analytics, storage, pipelines, and scientific services |
| Bioinformaticians and computational biologists | Academic labs, biotech firms, clinical research groups, core facilities | Strong workflow influence; often evaluate usability, scalability, and analysis quality | Core users for pipelines, AI analytics, visualization, workflow automation, and cloud tools |
| Research computing and HPC leaders | University IT, supercomputing centers, national research infrastructure teams | Influence infrastructure, data security, compute procurement, and platform integration | Important for cloud, storage, compute nodes, cybersecurity, and data orchestration offerings |
| Genomics and molecular biology researchers | Medical universities, biology departments, biotech R&D teams | Define assay, data interpretation, and downstream software needs | Relevant for NGS analysis, annotation tools, databases, and research consumables linked to data outputs |
| Core facility managers | Sequencing centers, shared instrumentation facilities, omics platforms | Operational buying influence across multiple labs and user groups | High-value targets for informatics, booking systems, data pipelines, and multi-user infrastructure |
| Biotech R&D and translational science teams | Biotech startups, diagnostics companies, pharma research groups | Commercial evaluation of software, AI, biomarkers, and data partnerships | Relevant for scalable analytics, secure collaboration, regulated data handling, and translational workflows |
| University procurement and research administration | Universities, grant-funded institutes, public research entities | Formal procurement approval, vendor onboarding, budget control | Important for contract conversion after technical interest is established |
| Data scientists and AI/ML researchers | Interdisciplinary science teams, med-tech R&D, computational labs | Evaluate model performance, dataset access, platform extensibility | Good fit for AI infrastructure, MLOps, annotation, and advanced analytics vendors |
| Scientific software and service partners | Research software firms, CROs, data platform providers | Partnership and reseller influence rather than direct end-buying only | Useful for channel development, co-selling, integration, and implementation support |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Toruń | Host-city academic community, university researchers, local life-science and computing stakeholders | Medium | Venue location supports strong university-centered attendance. |
| Kuyavian-Pomeranian region and nearby Polish hubs | Researchers and institutional participants from nearby academic and healthcare centers | Medium | Reasonable short-haul attendance potential for Polish institutions. |
| National Poland | Universities, medical schools, institutes, genomics labs, biotech firms, research IT teams | High | Most likely core buyer pool for a specialist conference of this type. |
| Central and Eastern Europe | Cross-border researchers, collaborative projects, scientific speakers, and research technology suppliers | Medium | Likely if the program includes international speakers or collaborations, though not confirmed from supplied data. |
| Wider international research community | Selective participation from global academia, software vendors, and biotech partners | Low to Medium | Possible but not confirmed. More likely for speakers, collaborators, and niche vendors than broad general attendance. |
| Reach Level | Assessment | Explanation |
|---|---|---|
| National | Primary classification | The conference topic and university venue suggest a primarily Poland-based specialist audience with meaningful academic and research participation. |
| Secondary reach description | Selective international specialist relevance | Bioinformatics is globally collaborative, so speaker and partner participation may extend beyond Poland even if the main attendee base remains national or regional. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Nicolaus Copernicus University | University / research host institution | Directly relevant due to venue association and likely scientific participation. | umk.pl | Professor, Lab Head, Head of Department, Research IT Director, Procurement Specialist | Strong Market Fit, Attendance Not Confirmed |
| University of Warsaw | University / life-science research | Major Polish research institution with likely interest in computational biology and genomics tools. | uw.edu.pl | Principal Investigator, Bioinformatics Lead, Core Facility Manager, IT Director | Strong Market Fit, Attendance Not Confirmed |
| Jagiellonian University | University / biomedical research buyer | Strong academic buyer potential across biology, medicine, and computational science. | uj.edu.pl | Professor, Director of Research, HPC Manager, Genomics Lab Head | Strong Market Fit, Attendance Not Confirmed |
| Medical University of Gdańsk | Medical university / clinical research buyer | Relevant for translational bioinformatics, genomics, and clinical data workflows. | gumed.edu.pl | Research Director, Clinical Genomics Lead, Bioinformatics Scientist, Procurement Manager | Strong Market Fit, Attendance Not Confirmed |
| Poznań Supercomputing and Networking Center | Research infrastructure / HPC organization | High fit for compute-intensive life-science workflows, storage, and data platforms. | psnc.pl | HPC Director, Infrastructure Manager, Scientific Computing Lead, Partnerships Director | Strong Market Fit, Attendance Not Confirmed |
| Nencki Institute of Experimental Biology PAS | Research institute | Likely buyer of scientific software, analysis platforms, and collaborative research tools. | nencki.edu.pl | Institute Director, Lab Head, Bioinformatics Specialist, Grants/Procurement Officer | Strong Market Fit, Attendance Not Confirmed |
| International Institute of Molecular and Cell Biology in Warsaw | Research institute | Relevant for omics data analysis, advanced biology workflows, and compute-enabled research. | iimcb.gov.pl | Research Group Leader, Core Facility Head, Systems Administrator, Procurement Specialist | Strong Market Fit, Attendance Not Confirmed |
| University of Wrocław | University / scientific research buyer | Potential demand across biology, chemistry, data science, and computational research programs. | uwr.edu.pl | Professor, Department Head, Research Computing Manager, Bioinformatics Analyst | Strong Market Fit, Attendance Not Confirmed |
| Genomed S.A. | Genomics / diagnostics company | Commercial buyer for sequencing analysis, data infrastructure, and clinical research software. | genomed.pl | R&D Director, Genomics Manager, CTO, Bioinformatics Team Lead | Strong Market Fit, Attendance Not Confirmed |
| MNM Diagnostics | Diagnostics / genomics company | Potential user of clinical bioinformatics, variant interpretation, and secure data workflows. | mnmdiagnostics.com | Medical Director, R&D Director, Bioinformatics Manager, Operations Director | Strong Market Fit, Attendance Not Confirmed |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Principal Investigator | Research | Senior | Defines scientific requirements and often initiates tool adoption. |
| 2 | Director of Research | Research / R&D | Director | Influences platform selection, grants, and institution-level priorities. |
| 3 | Bioinformatics Lead / Manager | Bioinformatics | Manager / Head | Key evaluator for workflow efficiency, interoperability, and analysis quality. |
| 4 | Core Facility Manager | Laboratory Operations | Manager | Operational buyer across multiple users and projects. |
| 5 | Head of Genomics / Genomics Manager | Genomics | Manager / Director | Critical for sequencing analysis, data interpretation, and infrastructure purchases. |
| 6 | Research IT Director | IT / Scientific Computing | Director | Approves compute, storage, integration, and security decisions. |
| 7 | HPC Manager / Scientific Computing Lead | Infrastructure | Manager | Relevant for intensive compute and data-processing environments. |
| 8 | CTO | Technology | C-Level | Relevant for biotech and diagnostics companies evaluating scalable tech stacks. |
| 9 | Procurement Manager | Procurement | Manager | Important for converting technical demand into approved supplier contracts. |
| 10 | Partnerships Director / Business Development Director | Partnerships / Business Development | Director | Useful where commercial research, software collaborations, or co-development opportunities exist. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Direct match for scientific institutes and specialized research centers. | Scientific software, analytics, data platforms |
| 2 | Higher Education | Universities are a primary attendee and buyer segment. | Lab informatics, compute, collaboration tools |
| 3 | Biotechnology | Fits genomics, omics, and translational R&D companies. | Analysis pipelines, AI, sample-to-insight systems |
| 4 | Pharmaceuticals | Bioinformatics supports discovery, biomarkers, and clinical research. | Data integration, target discovery, secure collaboration |
| 5 | Hospital & Health Care | Relevant where genomic medicine and clinical research intersect. | Clinical data workflows, genomics interpretation |
| 6 | Medical Devices | Useful for molecular diagnostics and life-science instrumentation ecosystems. | Instrument software, analytics integration |
| 7 | Information Technology & Services | Supports research IT, scientific platforms, managed infrastructure, and implementation partners. | Cloud, consulting, deployment, integration |
| 8 | Computer Software | Strong fit for analytics, workflow, visualization, and data management vendors. | Bioinformatics platforms, LIMS, dashboards |
| 9 | Computer Hardware | Relevant for compute nodes, storage systems, and research workstations. | HPC, GPU, storage procurement |
| 10 | Computer & Network Security | Sensitive research and genomic data create security and compliance needs. | Secure access, data governance, cyber protection |
| 11 | Government Administration | Public research institutes and grant-funded entities may purchase through public frameworks. | Institutional contracts and infrastructure projects |
| 12 | Management Consulting | Relevant for scientific transformation and data strategy service firms. | Advisory, implementation, partner-led sales |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | No verified current-year organizer metric supplied | Do not use a numeric attendance claim in outreach without organizer confirmation. |
| Exhibitor count | Not publicly confirmed | Not Confirmed | No verified exhibitor directory supplied | Scientific conferences may have limited vendor presence compared with large expos. |
| Buyer count | Not publicly confirmed | Not Confirmed | No verified registration segmentation supplied | Buyer presence is likely specialized and role-driven rather than mass-market. |
| Speaker count | Not publicly confirmed | Not Confirmed | No verified agenda supplied | Agenda verification required for speaker-led outreach. |
| Sponsor count | Not publicly confirmed | Not Confirmed | No verified sponsor page supplied | Potentially useful if event offers scientific software or sequencing sponsorship slots. |
| Historical attendance | No verified prior-year organizer number available from supplied data | Historical / prior-year evidence unavailable | Supplied brief only | Use niche specialist positioning instead of volume-based claims. |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Bioinformatics analysis | Faster, reproducible, scalable data analysis workflows | Demo pipelines, benchmark comparisons, workflow automation use cases | Analysis platforms, workflow engines, scientific software |
| Genomics and sequencing data | Handling large NGS datasets, annotation, interpretation, reporting | Connect with genomics leads and translational research teams | Variant interpretation, cloud pipelines, secure storage |
| Research computing | Reliable compute, GPU access, storage, performance optimization | Infrastructure planning discussions with scientific computing leaders | HPC, cloud, storage systems, cluster management |
| Data management and reproducibility | Version control, metadata quality, auditability, collaboration | Position solutions around governance and team collaboration | LIMS, ELN, data repositories, workflow governance tools |
| AI and machine learning in life sciences | Predictive analysis, model development, dataset scaling | Target data science and translational research teams | AI platforms, MLOps, model hosting, annotation tools |
| Academic-industry collaboration | Partnerships, grant alignment, technology transfer, co-development | Identify labs and centers open to pilots or strategic partnerships | Research partnerships, service contracts, joint development support |
| Data security and compliance | Protection of sensitive genomic and research data | Engage research IT and institutional decision makers | Identity management, secure environments, encrypted storage |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Audience is likely specialized and directly relevant to scientific software, research infrastructure, and life-science data offerings. |
| Decision-maker availability | Medium to High | Many attendees are technical influencers; final procurement may require institutional approval layers. |
| Data collection potential | Medium | Good for targeted networking and speaker-based account mapping, but public attendee-list availability appears limited. |
| Apollo targeting potential | High | Apollo can effectively target higher education, research, biotech, diagnostics, and research IT roles. |
| Geographic targeting potential | High | Poland-first targeting can be expanded to Central Europe based on product fit and language coverage. |
| Best outreach approach | High | Use scientific relevance, workflow pain points, reproducibility, compute efficiency, and grant-aligned value messaging. |
| Overall lead quality | High | Lower volume than large expos, but strong relevance and account quality for niche B2B and research-focused offerings. |
| Best use case | High | Account-based outreach, speaker/account mapping, partner prospecting, and targeted attendee list building where legally and ethically sourced. |
| Limitations / risks | Medium | Public attendee metrics and official participant directories were not verified from supplied data; avoid unsupported attendance claims. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Biotechnology; Pharmaceuticals; Hospital & Health Care; Medical Devices; Information Technology & Services; Computer Software; Computer Hardware; Computer & Network Security | Build a concentrated universe of likely scientific and technical buyers. |
| Departments | Research, Engineering, Information Technology, Operations, Procurement, Business Development | Capture both technical evaluators and budget approvers. |
| Seniority | C-Level, VP, Director, Head, Manager, Owner, Partner, Senior | Prioritize decision-makers and senior technical influencers. |
| Job titles | Principal Investigator, Professor, Research Director, Bioinformatics Lead, Bioinformatics Manager, Computational Biology Lead, Genomics Manager, Core Facility Manager, Research IT Director, HPC Manager, CTO, Procurement Manager | Align outreach with the actual buying chain in research and biotech environments. |
| Geography | Poland first; expand to Central and Eastern Europe where product localization supports it | Focus on likely event-relevant organizations and nearby scientific ecosystems. |
| Employee size | 11-50; 51-200; 201-500; 501-1,000; 1,001-5,000; 5,001+ | Covers startups, institutes, universities, and large healthcare or pharma entities. |
| Keywords | bioinformatics, computational biology, genomics, sequencing, omics, NGS, proteomics, transcriptomics, scientific computing, high performance computing, research data, laboratory informatics, variant analysis | Improves role and account relevance beyond broad industry filters. |
| Technologies, if relevant | Cloud, HPC, data analytics, AI/ML, LIMS, ELN, genomics software, secure storage | Useful when targeting users of adjacent or complementary platforms. |
| Revenue range, if relevant | Not essential for university targeting; useful for biotech and diagnostics segmentation | Helps separate startup biotech from enterprise-scale commercial buyers. |
| Company type | Public university, research institute, biotech company, diagnostics company, pharma company, scientific infrastructure organization | Supports account prioritization by buying model. |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| User-supplied event brief | Provided event data | Event name, dates, city, country, venue, and thematic description used in this report | Medium |
| Nicolaus Copernicus University | Official institution website | Venue host institution reference | High |
| Official event website not verified from supplied data | Verification note | Current-year organizer, speaker, sponsor, exhibitor, and attendance metrics were not publicly verified in the supplied material | High as a cautionary note |
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