Romain Lopez

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Ph.D. student, Electrical Engineering & Computer Sciences, UC Berkeley

Affiliations: Berkeley Artificial Intelligence Research & Center for Computational Biology
Advisors: Michael I. Jordan & Nir Yosef
email: romain [underscore] lopez [at] berkeley [dot] edu
Curriculum Vitae

Research Interests

My interests include mathematical statistics, applied statistics and applications to machine learning in biology. More recently, I am focusing on probabilistic modeling of single-cell RNA sequencing data. Its ecosystem includes Bayesian modeling, variational inference, and more precisely approximate posterior inference with neural networks. I am the lead contributor to single-cell Variational Inference (scVI).

Master's Thesis opportunities

We offer opportunities for MSc students anywhere in the world to apply for a funded visiting research position at UC Berkeley to work on projects related to scVI

Publications

Preprints

Published papers

* These authors contributed equally to this work.

About me

I grew up in Bedarieux, a small town in southern France, where I spent my time riding motorcycles, learning and teaching Judo as well as thinking about quantitative models for evaluating the temperature of the different planets of the solar system. I then followed the traditional French system of classes preparatoires in Toulouse at lycée Pierre-de-Fermat. After that, I worked with Laurent Massoulie (Optimal stochastic control on random graphs) at Ecole polytechnique (France) where I received the Diplome d'Ingenieur (2016). After several real-world experiences at Cardiologs (Time-series classification) and in Systems Biology, HMS with Allon Klein (Sparse Matrix Factorization), I decided to maintain this versatile orientation between theory and applications. Recently, I also worked with Le Song at Ant Financial in Hangzhou on Counterfactual Inference and Offline policy optimization.