I’ve spent over a decade simplifying the complex and technical so people can get things done - genomics, internal tools, databases, cancer data, music, live video.
A genomics pipeline can cost six figures, run for weeks, and fail
half the time - and most biologists can’t run one without
waiting on the rare colleague who codes.
As Head of Design for the entire company, I led
product design, brand, and design engineering for all our portfolio products - including helping pitch, ideate, and build Seqera Co-Scientist, our AI platform - as we
went from Series A → B.
I wore a lot of hats - led AI fluency workshops across the business, product operations, shepherded a data-driven culture, brand strategy, and helped integrate an acquisition.
Fig. 1
How the science runs. The wet lab makes the
samples; the dry lab runs the pipeline; results loop back to
interpret.
Fig. 2
A single run is a deep graph. Every sample fans out through dozens
of containerized steps — QC, trimming, alignment, dedup,
quantification.
Fig. 3
Seqera and Co-Scientist’s core value prop. Samples stream in; Nextflow pipelines run
as jobs against Seqera; compute runs on your cloud or ours; results
land in Studios and go out as MultiQC reports.
I advised on design, product, strategy, hiring, and operations.
The team hit #1 in the UK App Store and increased revenue 4× (six to eight figures) in a year.
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03 Founding Designer · 2022 — 2023
DynaboardAcq. Figma
Internal tools are where a company’s real operations live —
and where teams wait months on engineers who have better things
to build.
Dynaboard was a low code WASM-powered WYSIWYG app builder. We turned a database connection into a working, governed app
in about a minute. I was the solo designer on every surface. Figma acquired the tech
in 2024.
Fig. 1
What we were solving for. Most companies’ real operations living
in one incredibly messy spreadsheet, with many hands editing, no owner, and no source of
truth.
Fig. 2
Dynaboard’s core value prop. Point it at any data source — Postgres, a
warehouse, a spreadsheet — and get a real internal app with SAML,
SSO, authorization and deployments built in, that data, engineering
and operations teams can edit together in real time.
We built Triggers, Access Rules, and a lot more. I integrated two
acquisitions, built and led Growth and Education, and hired across
the org as the design team grew 7 → 34. Reported to the CTO.
Cancer data is a mess: every hospital records it differently, so
outcomes can’t be compared.
I helped invent a way to classify and anonymize oncology records
into something analyzable, then designed the platform that turned
it into treatment decisions.