Deep scientific products fail when taste is treated as decoration.
In serious life-science products, taste is a technical discipline. It shows up in the data model, the interface, the documentation, the claims, the regulatory posture, the naming, the route structure, the visual system, and the parts of the product most users never see. My work brings that discipline to scientific software, biomedical evidence systems, precision medicine infrastructure, and product-facing research.
Scientific products need the same care inside the system as on the visible surface. Data models, routes, identifiers, documentation, defaults, and edge cases all shape trust.
Methods become useful when users can reach a defensible interpretation without assembling evidence manually across fragmented tools, papers, databases, and local scripts.
Users infer scientific quality from behaviour: stable pages, clear definitions, fast loading, consistent filters, visible provenance, accessible design, and disciplined language.
Naming, trademarks, ownership, domains, documentation, SEO, support, pricing, and licensing affect whether a useful scientific product can survive beyond the first release.
Product positioning, user needs, workflow design, feature discipline, adoption logic, pricing layers, commercial model, product taxonomy, and release communication.
Search-first workflows, result ranking, filter logic, linked molecular context, structure viewing, table behaviour, state preservation, accessibility, and inspectable evidence.
Data provenance, field definitions, score meaning, versioned sources, stable identifiers, linked records, uncertainty, claim structure, and reproducible interpretation.
Next.js, React, TypeScript, Tailwind, R, Python, SQL, PostgreSQL, APIs, server routes, modular components, secure access, caching, logging, and scalable data systems.
IP review, trademark logic, domain strategy, ownership checks, documentation discipline, regulated claims, auditability, quality language, and lifecycle maintenance.
Search structure, indexable pages, documentation hubs, backlinks, technical content, scientific publishing, LinkedIn distribution, usage signals, and institutional credibility.
Switzerland Omics: scientific product identity, technical writing, regulatory positioning, and product architecture for probabilistic genomics and biomedical evidence systems.
Genomic Vault: secure genomic custody and controlled access concept for long-term biomedical data use.
Archipelago: Manhattan plots are for GWAS. Archipelago plots are for complex variant association studies, published in Lawless et al (2026).
QuantBayes: standardises how evidence strength is expressed - quantifying genomic variant evidence sufficiency with Bayesian posterior intervals, preprinted in Quant Group et al (2025) .
PanelAppRex AI: harmonised disease-gene panels from structured clinical and genetic queries, preprinted in Quant Group et al (2025). 
VCFheader: parsing VCF headers and generating structured standalone HTML reports, described in Lawless (2026).
ORCID record:
0000-0001-8496-3725
A Bayesian model for quantifying genomic variant evidence sufficiency in Mendelian disease. medRxiv, 2025.
Application of qualifying variants for genomic analysis. Bioinformatics, 42(2), btaf676, 2026.
PanelAppRex aggregates disease gene panels and facilitates sophisticated search. medRxiv, 2025.
Built a complete scientific product environment for probabilistic genomics, including public positioning, visual language, product taxonomy, regulatory framing, technical writing, and user-facing evidence concepts.
Switzerlandomics.ch, Quant DB, Quant Scan, Quant Calc, Genomic Vault, evidence frameworks, regulatory positioning, product pages, scientific documentation, and market-facing technical communication.
Designed the product logic for a web system that connects missense variant prediction, protein structure, functional annotation, and molecular context into one navigable interpretation workflow.
Naming, positioning, canonical domain strategy, UX, search logic, route structure, data model, UniProt, gnomAD, AlphaFold, ClinVar, MANE, documentation, security, cost control, IP, regulation, SEO, and commercial model.
Developed software and data products that give statistical and biomedical methods a clear visual, conceptual, and operational form.
Archipelago, QuantBayes, VCFheader, PanelAppRex AI, Qualifying variant database, IEI genetics database, CRAN releases, structured HTML reports, YAML criteria, and publication-linked software.
Built or shaped public identities for scientific and clinical initiatives where clarity, restraint, governance, and trust matter more than novelty.
SwissPedHealth, Swiss Genomics Association, Switzerland Omics, collaborator-facing communication, clinical research positioning, biomedical infrastructure messaging, and high-trust public presentation.
Deep-tech teams need taste as much as technical depth. The useful output is a product where the science, data model, interface, documentation, claims, regulation, and commercial path all feel like one coherent system. If you want to build that kind of product, get in touch.
