Founder-led advisory · Finland
I turn data and AI into decisions that hold up: in the business case, in the workflow, and in front of whoever asks the hard question later. Life sciences is where my history is deepest. It is not where the work stops.
Data science · Applied AI · Governance · Evidence | 10+ years leading this work inside complex organisations
Four practices. Most engagements start in one and pull in the next. The first three travel anywhere; the fourth is for organisations carrying a regulatory burden.
The unglamorous half that decides whether anything else works. Getting the data into a state worth modelling, choosing methods that match the question, and reporting results with the uncertainty left in rather than rounded away.
Design and build working systems, not slideware: retrieval and synthesis pipelines, human approval gates, audit trails, and honest measurement of whether the model actually agrees with your experts.
Classify your AI use cases, decide what genuinely needs a control and what does not, and write governance people can follow. Where regulation applies, EU AI Act, GDPR and GxP get read together rather than as three separate projects.
For the life-science and medical-device end of the spectrum: evidence that answers the question a payer or regulator will actually ask, and a quality system built as living documents rather than a binder nobody opens.
Small, senior and direct. You work with me and a short list of trusted partners. No junior layers, no handovers, no dilution.
We work through your problem, your constraints and what "done" would look like. You leave with a written read of the situation whether or not we continue.
A defined deliverable: a governance position, a working prototype, an analysis, an evidence plan, an audit-ready document set. Scope and pace are set by the problem, not by a standard package.
Retained advisory for teams that want a senior second opinion on call rather than another full-time hire.
Seed-stage startups through to global pharma, and organisations with no life-science connection at all. Client names withheld by agreement; happy to talk any of these through in a call.
Global pharma · R&D
Designed and delivered an agentic evidence-synthesis system for an R&D function: parallel retrieval across scientific databases, human approval gates before anything reaches a reader, and a full audit trail.
Clinical-stage biotech
Evidence strategy and analysis planning ahead of a regulatory interaction, including the question of which endpoints would survive scrutiny and which would not.
Pre-clinical biotech
Target and asset intelligence assembled from public literature, patent and structural data, so a small scientific team could triage candidates without hiring an informatics function.
Digital therapeutics
Regulatory pathway, quality system and evidence plan for a digital therapeutic, taken together so the clinical claim and the software classification stayed consistent.
Digital health startup · early stage
Data platform and AI feature design alongside the GDPR posture, in the form investors and enterprise partners ask to see during technical due diligence.
Outside life sciences
AI use-case triage and a governance position for an organisation with no GxP burden, where the real constraints were procurement, public accountability and an ageing data estate.
I have spent more than a decade leading data, AI and digital transformation inside health and life sciences — long enough to have shipped things that worked and to have watched good ideas die in governance. That is where the deepest history sits: startups, pre-clinical and clinical biotech, DTx, digital health and global pharma. It is not a boundary. The same data science and AI work travels to industrial, public-sector and other commercial settings, and the questions turn out to be the same three: how to use data and AI responsibly, how to build capability that outlasts the project, and how to translate digital into business.
The approach is Nordic in the practical sense. Design for the person doing the work, be honest about uncertainty, and prefer a smaller thing that runs to a larger thing that is still being aligned.
If you want clarity, acceleration, or a partner for the next chapter of your digital work, write to me directly. I answer my own mail.
PalsaIQ · Profile Sammeli Liikkanen Oy · Company ID FI3106765-4 · Finland
