Ciao! I work as an Applied Scientist at Amazon. I spend most of my time thinking about how we can make causal inference more efficient in online settings. In particular, I study settings when data is noisy:
or interference is at play, like marketplaces:
I obtained my PhD in Electrical Engineering and Computer Science from MIT in 2021, working in CSAIL under the supervision of Tamara Broderick. My thesis developed novel Bayesian nonparametric methods for prediction and experimental design in the context of genomics studies (see also “Bayesian nonparametric strategies for power maximization in rare variants association studies ”). Before joining MIT, I was an Allievo student at the Collegio Carlo Alberto and at the University of Torino.
Here you can find a copy of my CV. You can contact me via email at lo [dot] masoero at gmail dot com.
PhD in Computer Science, 2021
MA in Statistics and Applied Mathematics, 2016
Collegio Carlo Alberto