Where bench science meets commercial decisions. Independent practice for life sciences teams scaling across EMEA and Asia.
Commercial strategy, scientific advisory, and digital infrastructure, shaped to your stack and your context.
Seungeun Lee, PhD, PRINCE2 7 Practitioner
Founder & Principal, Dr. S Lee Life Sciences
Senior second read by a scientist-turned-strategist. Flexibly scoped verification and validation across commercial, scientific, digital. Fifteen years across EMEA-Asia, biotech leadership from research.
Selected engagements Demo liveAn agentic AI workspace by a life-sciences scientist. Lives on your server, routes through your team's stages, drafts with cited sources. Tailored to your domain's taxonomy and team's language.
Take a tourBench-credible scientific depth from wet-lab to bioinformatics, commercial leadership across EMEA-Asia, and agentic AI workspace design across technical, commercial data platforms. (About the practitioner)
Delivered as senior verification and validation on advisory mandates, often for consulting firms, expert networks, and other partners. Professional paths across EMEA and Asia, with trusted life-science networks across Europe and Korea. Fractional advisory or project-based, where it fits. NDA on request. Any of the services below can take the partnership shape that fits. (Explore partnership)
Drafts arrive fast. Your intelligence compounds.
Built for life-sciences workflows where technical and business judgment converge: inquiry-to-quote, R&D technical assessment, and beyond.
Stays put. Pulls in what's worth reading. Protected by design.
Catches pattern, threshold, tone. Seeded by day one.
Drafts arrive with reasons. Audit at a glance. You decide.
Fits your approval flow. Tune as you go. Logbook writes itself.
Onboard light. Know-how outlasts churn. Memory holds.
Today a technical question (customer inquiry, internal R&D assessment, feasibility check) routes through a senior expert and waits two or three days for a reply. Sense 2026 turns that wait into minutes: one inquiry stays in one workspace across days, hand-offs, and reviewers. It runs on an ontology your AI agents act on, shaped to your sub-domain's taxonomy and your team's vocabulary. An inquiry past your risk threshold auto-routes for senior review; a missing field trips your block list before a draft leaves. Where general AI hands you a guess, every Sense answer carries its source and reliability tier. Year by year, your intelligence compounds.
What compounds is what you tune. Where many platforms keep configuration on the vendor side, all three layers stay with your team: catalogue, pricing, and approval rules tuneable in-house; reliability cut-offs and methodology toggles dialled inquiry by inquiry; deeper structure (classifier, risk patterns, scoring weights) architected with us via your advisor file. Pricing is flat per organisation, not per seat. Evaluation is free.
Open to teams ready to explore Sense at their own pace. You don't need to fit the prototype. The shared sandbox is a brainstorming canvas, not the final shape of your platform: your team sits around Sense, explores, and tells us what clicks (or doesn't). We build tailored solutions through back-and-forth, then deploy in steps. Bring your hardest workflow when the time feels right, and reach out to tell us where to start.
Different ways to engage the practice areas: senior advisory for commercial or scientific verification/validation, co-building existing or new threads, or contract engineering on bounded scopes. Different doors, same workshop, same hands. (More about Dr. S Lee)
A senior second read, right-sized to your scope.
Native domain. Cross-sector fluency. Senior fit-for-purpose read.
Fifteen years EMEA-Korea networks. Local context. Both directions.
Research + business reads. Bench to boardroom. Lab to launch.
On mandate with consulting firms, expert networks, and research organizations, flexibly scoped.
(Anonymised per standard confidentiality · each engagement processed under NDA)
Contract Open across engagement levels and contract forms. NDA on request.
A build partner for the thread you're shaping.
R&D or commercial leaders in biotech, genomics, diagnostics, or pharma who'd rather build something with someone than navigate alone. Two paths fit: shape an existing build (Sense 2026 is the active build, currently open for exploring teams and more topics in the pipeline), or co-create something new that complements the practice, around your own thesis about a tool, infrastructure, program, or service in life sciences. Several shapes are possible, from project collaboration to deeper alignment, with hands-on support for partnership development and project structuring along the way.
Open a co-build threadBounded engineering scopes, paid and credited.
Engineer interested in shipping bounded scope across agentic AI tooling (active build: Sense 2026), database architecture and integration, or operations data platform work (LIMS, SAP, Power BI, SharePoint, or others). Comfortable in Python, R, Docker, or Git workflows. ML or AI background welcome but not required; strong craft in pipelines, schemas, system integration, or curation work is equally valuable. Paid contract engagement, collaboration credit. Domain context (biology, NGS, healthcare data) is a plus. First contracts are forming around active workstreams, with more in the pipeline.
Pitch a project scopeA scientist who codes and speaks the domain vocabulary. The combination came from academia before (bio-)informatics existed: self-practicing R, Python, and Java at the bench set a fifteen-year through-line across research benches, regulatory bodies, and commercial leadership. Scientific work spans clinical, environmental, and food-safety domains, with peer-reviewed publications and EU Reference Laboratory studies from wet-lab to bioinformatics. Commercial work covers EMEA market entry, partnerships, pricing, forecasting, and sales direction, leading multidisciplinary teams across sales, project management, lab, bioinformatics. Across both tracks, the combination shaped digital infrastructure (genomic reference database, biobank, LIMS, SAP) and organization-wide documentation and compliance system under ISO 17025/9001. Operational vocabulary came from holding each role in the chain (bench scientist, bioinformatician, ops executive, commercial lead), forming the translation layer that fits each context, not one-size-fits-all, now in senior advisory (Partnership) and agentic AI tooling (Sense 2026).
Independent practice based in the Netherlands, engaging as senior advisor with consulting firms and expert networks across three overlapping areas (commercial strategy and partnerships, technical and scientific advisory, and digital infrastructure tailored to each team's stack), alongside agentic AI workspace design for teams ready to build. Fifteen years across EMEA and Asia, in professional English with trusted life-science networks across Europe and Korea, supporting biotech and the broader research ecosystem.
Domain research, ICP definition, and customer development for an early-stage AI SaaS exploration in life sciences. Mapped senior buyer dynamics and market entry mechanisms across R&D and biotech services globally.
EMEA commercialization of scientific innovations. B2B/B2C partnerships, pricing and branding strategy, fiscal planning, revenue forecasting. Key user for the in-house developed LIMS, bridging laboratory method logic and IT scripts. ISO-compliant systems and LIMS-based documentation. Reporting infrastructure with SAP and Power BI. Multidisciplinary leadership across sales, project management, lab operations, and bioinformatics.
Genomic surveillance of food-borne pathogenic microbes using Illumina and Nanopore sequencing, with Python, R, Docker, and Git workflows. EU Reference Laboratory inter-laboratory studies and proficiency-test evaluations on Shiga toxin–producing and pathogenic E. coli, and Listeria monocytogenes. Lead key user for the LabVantage LIMS: designed method logic and taxonomy, led the LIMS integration, and built the biobank database architecture behind it (RDBMS, Python, Jupyter).
Curated metadata to refine the GLOBIO-Aquatic Projection model. Applied R for variable analysis, regression modelling, and dataset alignment.
Built a laboratory from the ground up to optimize in vitro and in silico workflows. Refined NGS data with bioinformatics tools to identify environmental pathogens and improve microbial molecular identification.
Molecular and clinical research on diabetes and endocrine disease. Cell culture, differentiation, and drug treatments. Animal handling for in vivo studies. qPCR, bioluminescent assays, immunoblotting, and protein extraction. Cloning workflows including DNA fragment design, insertion, and digestion.
Undergraduate research placement supporting nutrition and health studies. Handled laboratory equipment, chemicals, and animal models for in vivo nutrition research.
Peer-reviewed publications, commercial and market intelligence, inter-laboratory proficiency studies, technical and method validation reports, and conference presentations across NGS platform operations, food safety microbiology, environmental genomics, bioinformatics workflows, and metabolic disease research.
Selected entries only; many similar reports produced routinely.
Indexed via ORCID with DOI
Business performance, market analysis, and BI dashboards
Proficiency testing and cross-laboratory evaluations
Method development, validation, and QC workflows
Selected talks · awards where noted
Every channel reaches me directly, with replies usually within two working days. Write or speak in any language. A real clue to a problem usually carries across whatever language it arrives in.
Whether for consulting, partnering on the build, mentoring, or just to say hello, you decide where to start.