Consulting

Advice where machine learning meets the clinic.

Alongside clinical and research work, I am available for a small number of selected engagements — for teams that need single-cell and machine-learning depth together with a physician’s sense of what matters for patients.

Service areas

  1. AI in biomedicine

    Choosing, building and stress-testing models against real biological and clinical data.

    BasisPhD research · Institute of Computational Biology, Helmholtz Munich

  2. Single-cell & spatial omics strategy

    An analysis plan that starts from the biological question — before the first sample is sequenced, or once the data is in.

    BasisResearch scholar, Massachusetts General Hospital, Harvard Medical School · Co-author, Nature Methods 2025, Nature Genetics 2025

  3. Computational biology

    Reproducible pipelines for sequencing data — documented, versioned and built to be handed over.

    BasisMaster’s thesis, Dana-Farber / Broad Institute · Co-author, Nature Biotechnology 2024

  4. Clinical translation

    Keeping computational work anchored in clinical reality — patients, endpoints and how care is actually delivered.

    BasisResident physician in hematology and oncology, TUM University Hospital · GPT-4 studies in gynecologic oncology · Co-author, Int J Gynecol Obstet 2025, Acta Obstet Gynecol Scand 2025

Who it’s for

Teams working where biology, data and patient care meet.

  • Biotech & pharma R&D

    Translational and computational teams working with single-cell, spatial or clinical data.

  • Academic labs & consortia

    Method choice, benchmarking and analysis strategy for multi-sample and atlas-scale projects.

  • Clinical & translational groups

    Bringing machine learning to patient cohorts with a clear clinical question.

  • AI & health-tech start-ups

    Scientific and clinical feedback on models, data and evaluation setups.

How an engagement works

  1. Step 01

    Intro call

    A short conversation about your question, data and constraints — and an honest view of whether I am the right fit.

  2. Step 02

    Scoping & proposal

    A written scope with goals, deliverables and timeline, and what is explicitly out of scope.

  3. Step 03

    Project or advisory

    A focused, time-boxed project, or light-touch ongoing advice with regular check-ins.

  4. Step 04

    Handover

    Documented code, decisions and recommendations that your team can own and build on.

A question that needs both the data and the clinic?

Tell me briefly about the question, the data and the timeline. I will reply with an honest view of whether — and how — I can help.

Availability
Open to selected engagements
Formats
Advisory calls · Project-based work · Ongoing advisory
Setting
Remote, or in person in Munich
Languages
English · German · Portuguese

Consulting does not include individual patient care or medical advice.