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 healthcare and biomedicine, explainability, computational social science and statistical methodology for complex high dimensional data.

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 - Essay 1 and Essay 2 are two recent attempts to write about the behavioral determinants of health and the politics of health inequality.

📝 Publications

• Captari, L. E., Sandage, S., Cowden, R.G., Deshayes, R., Choe., E., Crabtree, S., Davis, W., & Aten, J. (in press). Spiritual, religious, and existential processes of posttraumatic growth: Seeking, struggle, and transformation. Routledge International Handbook on Posttraumatic Growth. Routledge.

Deshayes, R., Cowden, R.G., Shiba, K., VanderWeele, T. J., & Fancourt D. (in preparation). Associations of Underlying Motivation for Compliance with Public Health Measure During COVID-19 Lockdown with Subsequent Health and Well-being Among UK Adults. Expected December

• Cowden, R. G., Ho, S. Y., Deshayes, R., A., Cellini, J., Padgett, R. N., Stamatis, A., Morgan, G., & VanderWeele, T. J. (in preparation). Mapping the observational and experimental evidence on personal suffering and human flourishing: A scoping review. Expected December

🔍 Selected projects

Reinforcement Learning

GAN

Compressed Sensing

NLP

Bayesian methods

Parallel computing