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 his PhD at École Normale Supérieure in the statistical biophysics group. As a Lewis-Sigler Theory Fellow at Princeton University he further 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.
Developing mathematical modelling and machine learning approaches with the ultimate goal of better understanding immune responses to Tuberculosis.
Interested in how immune repertoires change with ageing.
Developing new approaches for joint analysis of single-cell RNA and TCRseq data (co-supervised by Leo Swadling)
Developing information theoretic tools to quantify which features of immune receptors are most restricted in epitope-specific repertoires (co-supervised by Benny Chain)
Modelling stochastic cancer-immune cell interactions using agent-based modelling (co-supervised by Benny Chain)
Lucia Guillamet Garcia
PhD student
Developing a reverse-epitope discovery pipeline for T cells specific to Tuberculosis (co-supervised by Mahdad Noursadeghi)
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 take a look at our current openings or reach out!
Alumni
King Chalapati, MSc Physis student || then a research assistant at Cambridge University
Ursule Demaël, PhD student (joint w/ Hans Stauss) || then a biotech venture capital specialist
Peter Thomas, Postdoc (joint w/ Leo Swadling) || then a scientist in biotech startup
Agustya Iyer, iBSc MCM student || continued MBBS at UCL
Peng-Yuang Dong, MSc I&I student || then a PhD student in the Tsinghua University-Shenzhen Medical Academy of Research and Translation (SMART) programme
Minzhe Tang, MSc AI student || then Senior Research Scientist at Crick Institute
Ishaan Sikka, MSc Physics student
Andrew Pyo, Physics PhD rotation student || then a Stanford Science Fellow
Touchchai Chotisorayuth, MSc AI student || then a machine learning specialist in an AI startup
Rishika Saxena, iBSc MCM student || continued MBBS at UCL
Prisha Satwani, MSc AI student || then Head of Growth at an e-commerce startup
Sankalan Bhattacharyya, Research Assistant || then a PhD student in astrophysics at University of Edinburgh
Jocelyn Japnanto, IPLS summer student || then a PhD student in earth sciences at UCL
Kirsten Silvey, MRC-DTP PhD rotation student || then a PhD student in structural biology at UCL
Chris Russo, physics junior and senior thesis student || then a PhD student at University of Chicago
Max Nguyen, QCB PhD rotation student || then a PhD student at Princeton University
Léo Régnier, visiting Master student from ENS || then a PhD student at CNRS
Mario Gaimann, DAAD RISE summer intern || then a PhD student at the Max Planck Institute for Intelligent Systems