Alexis Bellot

Postdoctoral Researcher
Columbia University

I am currently a postdoctoral research scientist at Columbia University, under the direction of Prof. Elias Bareinboim in the Computer Science Department. Prior to Columbia, I graduated with a Ph.D. in Applied Mathematics from the University of Cambridge under the supervision of Prof. Mihaela van der Schaar.

My research focuses on causal inference, hypothesis testing, and its applications, most notably in healthcare. I intend to broaden the use of causal insights to improve the robustness and interpretability of machine learning algorithms, as well as extend existing causal inference and causal discovery algorithms to handle modern heterogeneous datasets that inevitably manifest many complexities for algorithm development, such as high-dimensionality, biases, and missing data.
My CV as of November 2021.


► I am part of the logistics committee of the NeurIPS-21 Workshop "Causal Inference & Machine Learning: Why now?" (WHY-21). Consider attending, see more details here.
► The recording of my presentation on synthetic controls at the Rice ECE Speaker Series Seminar is available here.
► A recent paper of ours on causally-inspired imputation was accepted for presentation at NeurIPS 2021.
► Two recent papers of ours on hypothesis testing were accepted for presentation at UAI 2021.
► One paper of ours on counterfactual estimation using synthetic controls was accepted for presentation at ICML 2021.