Portrait of Tom Burkart

EMBO Postdoctoral Associate · Fakhri Lab, MIT

Tom Burkart

I study how order and time-irreversibility emerge in non-equilibrium biological systems: combining statistical physics, high-dimensional data analysis, and machine learning to understand the physics of living matter.

About

I'm a physicist working at the interface of theory and biology. My PhD, supervised by Erwin Frey at LMU Munich, focused on self-organization in biological systems, specifically intracellular protein pattern coupled to dynamic cell geometries. As a postdoc in the Fakhri Lab at MIT, supported by an EMBO Postdoctoral Fellowship, I now work on representation learning of high-dimensional non-equilibrium complex systems, combining theory, data analysis, and machine learning.

I'm currently looking to bring these tools — statistical modeling, machine learning, and large-scale data analysis — to applied problems in health and biotech, where they can translate research insight into real-world impact.

Projects

Community & Ecosystem Outreach

MIT Hacking Medicine

Volunteer & Co-Organizer

Helping organize hackathons and events for MIT's healthcare innovation community, bringing together clinicians, engineers, and entrepreneurs to prototype solutions in digital health.

Nucleate Germany

Head of AI x Bio

Nucleate is a trainee-run nonprofit that helps scientists turn research into biotech companies. For Nucleate Germany, I lead the AI x Bio track, connecting the machine-learning and life-science communities.

Building & Teaching

AI + Complex Systems

Lecturer · Coming soon

A lecture module for MIT Open Learning's Universal AI curriculum on how machine learning meets complex systems, from discovering governing equations with SINDy to collective behavior and reinforcement learning.

Experative

Autonomous scientific discovery

The learning layer for physical experimentation: the memory and judgment a self-driving laboratory needs to run itself, so that every experiment informs the next.

LeanOn

Local AI for oncology care

Prepares every oncology consultation on the clinic's own hardware: self-hosted, local AI that gives care teams a ready overview and patients a symptom diary and document vault.

ambr

Winner · Hack-Nation.ai 6th Global AI Hackathon

Built with my team over one weekend and awarded top honors at Hack-Nation.ai's 6th Global AI Hackathon.

Skills

I also co-develop open-source teaching materials — including a set of Jupyter notebook tutorials on simulating pattern formation in cells, written for the 2022 Q-Life Winter School in Paris with Jan Kirschbaum and David Zwicker.

Research & Publications

  • Light-induced cortical excitability reveals programmable shape dynamics in starfish oocytes

    J. Liu, T. Burkart, A. Ziepke, J. Reinhard, Y.-C. Chao, T. H. Tan, S. Z. Swartz, E. Frey, N. Fakhri

    Nature Physics · 2025

    "With these switches, we were able to arbitrarily modulate the protein distribution in the cell through light stimuli, which led to deformations."
  • Dimensionality reduction in bulk-boundary reaction-diffusion systems

    T. Burkart, B. J. Müller, E. Frey

    Physical Review E · 2024

  • Mechanochemical feedback loop drives persistent motion of liposomes

    M. Fu, T. Burkart, I. Maryshev, H. G. Franquelim, A. Merino-Salomón, et al.

    Nature Physics · 2023

    "The two-component bacterial MinDE protein system is the simplest biological pattern-forming system ever reported. Now, it establishes a mechanochemical feedback loop fuelling the persistent motion of liposomes."
  • Periodic temporal environmental variations induce coexistence in resource competition models

    T. Burkart, J. Willeke, E. Frey

    Physical Review E · 2023

  • Control of protein-based pattern formation via guiding cues

    T. Burkart, M. C. Wigbers, L. Würthner, E. Frey

    Nature Reviews Physics · 2022

View full publication list on Google Scholar →

Talks

Invited Colloquia

"Skip the Sweep — Learning What Matters in Models of Living Systems"

Physics Colloquium, Yale University · May 2025

A look at how contrastive embedding methods can help identify the observables that actually matter when analytical approaches to non-equilibrium biological systems fall short — with preliminary results from a toy model.

"Chemomechanical Self-Organization Across Scales in Living Systems"

ASC PhD Prize Colloquium, LMU Munich · Nov 2025

Invited colloquium given on receiving the Arnold Sommerfeld Center PhD Prize.

Selected Conference Talks
  • "From Aggregate to Organism: Emergence of Multicellularity in Sea Sponges"

    APS Global Physics Summit · Los Angeles, CA · Mar 2025

  • 7th International Conference on Physics and Biological Systems (PhysBio 2024)

    École Polytechnique · Paris, France · Jun 2024

  • DPG Spring Meeting

    Berlin, Germany · Mar 2024

  • STATPHYS28 — 28th International Conference on Statistical Physics

    Tokyo, Japan · Aug 2023

  • ICBP 2023 — 11th International Conference on Biological Physics

    Seoul, South Korea · Aug 2023

  • "Light, Proteins, and Shape: Exploiting Pattern Formation for Light-Controlled Cell Deformations"

    APS March Meeting · Las Vegas, NV · Mar 2023

  • DPG Spring Meeting

    Dresden, Germany · Mar 2023

  • Turing Symposium

    New York, NY · Oct 2022

  • DPG Spring Meeting

    Regensburg, Germany · Sep 2022

  • "Enhanced Biodiversity in Time-Dependent Environments"

    APS March Meeting · Chicago, IL · Mar 2022

Awards & Fellowships

  1. EMBO Postdoctoral Fellowship

    2025 – Present

  2. Arnold Sommerfeld Center PhD Prize — LMU Munich

    2025

  3. CeNS Publication Award for Best Interdisciplinary Publication — Center for NanoScience, LMU Munich

    2023 · for "Mechanochemical feedback loop drives persistent motion of liposomes"

  4. Add-On Fellowship for Interdisciplinary Life Science — Joachim Herz Stiftung

    2020

Experience & Education

  1. Postdoctoral Researcher — Fakhri Lab, MIT

    EMBO Postdoctoral Fellow · Jan 2025 – Present · Cambridge, MA

  2. Co-Organizer — MIT Hacking Medicine

    2025 – Present · Cambridge, MA

  3. PhD Statistical and Biological Physics — LMU Munich

    Self-organization in biological systems · Advised by Prof. Erwin Frey · Nov 2019 – Dec 2024 · Munich, Germany

  4. Junior Consultant — Basycon Unternehmensberatung GmbH

    May 2019 – Oct 2019 · Munich, Germany

  5. MS Biophysics — LMU Munich

    Oct 2017 – Apr 2019

  6. BS Physics — LMU Munich

    Oct 2014 – Apr 2017

Contact

Cambridge, Massachusetts