Postdoctoral Fellows

Statistics, Machine Learning, Data Assimilation, Computational Biology

Machine Learning, Generative Models, Single-Cell, Systems Biology

Alignment-free Inference, Adaptive Algorithms

Systems Neuroscience, Connectomics, Neurodevelopment

Tissue Modeling, Data Integration

Single-Cell Omics, Statistical Machine Learning, Interpretable Deep Learning, Principled Model Evaluation

Single-Cell Genomics, Multi-Omics Integration, Spatial Transcriptomics, Transfer Learning

Computational biology, Genomics, Biophysics

Spatial Biology, Computational Topology/Geometry

Single-cell Multiomics, Gene Regulation, Optimal Transport, Generative Modeling

Differentiable Phylogenetics, Genome-Scale AI, Biological reasoning models, Generative Models for Biology, AI Agents for Biology

Representation Learning, Generative Modeling, AI for Biology

Perturbation Cell and Tissue Biology, Computational Neuroscience, Agentic AI

Tumour Heterogeneity, Immunology, Spatial Biology, Deep Learning

Generative Models, Drug discovery, Bayesian Non-parametrics

Spatial biology, Cell-cell interactions

Virology, Infectious Disease, Cancer, Next-Generation Sequencing, Computational Biology

Active Learning, Generative Modelling, Experiment Design, Enzymes

Digital Twins, Higher Order Networks, Observability, Data Integration

CRISPR Perturbations, Cell Imaging, Cancer

Generative Modeling; Representation Learning

Probabilistic Models, Theoretical Population Genetics, Spatial Biology

Bayesian Deep Learning, Probabilistic Machine Learning, Generative Modeling, PTSD, Genomics

Cancer Mutations, Gene Expression, Causality

Representation Learning, Single-Cell Genomics, Graph-Based Methodology

Representation Learning, Generalization, Graphs and Geometries

Computational Oncology, Machine Learning, Single-Cell; Spatial Transcriptomics

Causal Inference, Machine Learning, Computational Biology, Statistical Genetics

Mechanobiology, Cell State Transitions, Multi-Omics