Sotabase

Career

· Co-Founder, Stealth BioTech Startup2025–
· Scientific Lead, Harvard University2023–2025
· Doctor of Philosophy - PhD, University of Oxford2019–2023
· PhD Student, University of Oxford2019–2023
· Senior Engagement Manager, McKinsey & Company2013–2020
· Master of Science - MS, Columbia University in the City of New York2010–2011
· Master of Science - MS, Ecole polytechnique2007–2011

Publications (24)

Disease variant prediction with deep generative models of evolutionary data
Nature · 2021
645
cited
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
International Conference on Machine Learning · 2022
229
cited
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
Neural Information Processing Systems · 2023
210
cited
Learning from prepandemic data to forecast viral escape
bioRxiv · 2023
142
cited
RITA: a Study on Scaling Up Generative Protein Sequence Models
arXiv.org · 2022
121
cited
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction
bioRxiv · 2023
75
cited
Improving black-box optimization in VAE latent space using decoder uncertainty
Neural Information Processing Systems · 2021
72
cited
TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction
bioRxiv · 2022
54
cited
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
bioRxiv · 2023
34
cited
Mixtures of large-scale dynamic functional brain network modes
NeuroImage · 2022
33
cited
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
International Conference on Learning Representations · 2021
25
cited
Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning
bioRxiv · 2020
19
cited
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
International Conference on Machine Learning · 2023
16
cited
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
arXiv.org · 2023
15
cited
Learning from pre-pandemic data to forecast viral antibody escape
2022
6
cited
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
International Conference on Machine Learning · 2025
4
cited
Multi-megabase scale genome interpretation with genetic language models
arXiv.org · 2025
3
cited
Principled Uncertainty Estimation for High Dimensional Data
2020
3
cited
RNAGym: Large-scale Benchmarks for RNA Fitness and Structure Prediction
bioRxiv · 2025
2
cited
SliceOut: Training Transformers and CNNs faster while using less memory
arXiv.org · 2020
1
cited
Sotabase
Pascal Notin | Researcher Profile | Sotabase | Sotabase