Rémy Deshayes

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Paris, Spring 2019.

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👋 Hello!

I am a fellow at Harvard, working in Prof. Tyler VanderWeele’s group. My current research builds causal models to evaluate the effect of the COVID-19 pandemic on well-being.
Previously, I was a research assistant advised by Prof. Tim Althoff in the Behavioral Data Science Lab at the Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle.

I recently graduated from ENSAE, Institut Polytechnique de Paris with a MS in Computer Science and Statistics and from ESSEC Business School with a Master in Management. During my studies, I was a data scientist intern at Quantmetry.

👀 Research interests

I am very broadly interested in causal inference, AI/ML for human health and well-being, statistical methods (in medical studies) and computational social science.
Recently, I enjoyed using NLP, matching techniques and sensitivity analysis in the context of social media and mental health - here are introductory slides from a brief talk I gave at UW in September 2020. In the past, I also had fun working on unsupervised reinforcement learning, generative adversarial networks, parallel computing, auction theory and times series forecasting.

In my free time, when I am not cooking, I like reading and (occasionally) writing about sociology - here is an attempt to write on the behavioral determinants of health.

🔍 Selected projects & publications

Reinforcement Learning

GAN

Compressed Sensing

NLP

Bayesian methods

Parallel computing