Andreas Tiffeau-Mayer
Group Leader / Lecturer in Computational Biology
After an initial training in statistical physics in Göttingen and Paris, Andreas worked on how evolution shapes immune defense strategies for my PhD at École Normale Supérieure in the statistical biophysics group. As a Lewis-Sigler Theory Fellow at Princeton University he developed his interest in evolutionary immunology and started to ask more practical questions around how to turn advances in measuring immunological processes into quantitative models. Combining theory and data analysis he uncovered quantitative principles that govern the regulation of T cell dynamics at multiple timescales.
Andrew Pyo
PhD student (Princeton Physics)
Applying metric learning to the prediction of lymphocyte receptor specificity (co-supervised by Ned Wingreen).
Developing information theoretic tools to quantify which features of immune receptors are most restricted in epitope-specific repertoires.
Modelling stochastic cancer-immune cell interactions using agent-based modelling (co-supervised by Benny Chain)
Using insights from TCR repertoires to inform the design of pancoronavirus vaccines (co-supervised by Leo Swadling).
Prisha Satwani
MSc student in AI
Applying large language models to predict T cell specificity and function.
Rishika Saxena
iBSc student in Maths, Computing, and Medicine
Can cancer-associated TCRs be identified from TCR sequence features?
Touchchai Chotisorayuth
MSc student in AI for Biomedicine and Healthcare
Speeding up large-scale analysis of immune repertoire sequencing data using computer science tricks & GPUs.
Ursule Demaël
PhD student (MRC DTP)
TCR engineering for immunotherapy (co-supervised by Hans Stauss).
Yuta Nagano
Postdoc, previously MBPhD student in the group
How can we make protein language models useful for adaptive immune receptor analyses? (co-supervised by Benny Chain).
You?
Immunologist? Physicist? Data Scientist?
We are looking for enthusiastic researchers at all levels to join us on our journey. Interested in working on some of the most fundamental questions in immunology using cutting edge machine learning techniques? Excited about studying the physics of living systems in an important and tractable model system? Please reach out!
Alumni
Sankalan Bhattacharyya, Research Assistant || now a PhD student in astrophysics at University of Edinburgh
Jocelyn Japnanto, IPLS summer student || now a PhD student in earth sciences at UCL
Kirsten Silvey, MRC-DTP PhD rotation student || now a PhD student in structural biology at UCL
Chris Russo, physics junior and senior thesis student || now a PhD student at University of Chicago
Max Nguyen, QCB PhD rotation student || now a PhD student at Princeton University
Léo Régnier, visiting Master student from ENS || now a PhD student at CNRS
Mario Gaimann, DAAD RISE summer intern || now a PhD student at the Max Planck Institute for Intelligent Systems