Welcome to my personal page! I am a 1st year PhD student at MIT, in the department of Electrical Engineering and Computer Science, working in LIDS under the supervision of Tamara Broderick. My main research interests are machine learning and Bayesian inference. Besides that, I am also very interested (and eager to learn more!) in optimal transport, and the way in which this can be linked to probability, statistics, and machine learning.
Before joining MIT, I completed a MSc in Data Science at Bocconi University advised by Igor Prünster, with a thesis focused on random measure approaches to Bayesian nonparametrics. Prior to that, I obtained a BSc in Economics and Computer Science advised by Massimo Marinacci, where I worked on neuroeconomics and statistical models for decision making.
Feel free to contact me via email at renb at mit dot edu.
PhD in Electrical Engineering & Computer Science, 2026 (expected)
Massachusetts Institute of Technology
MSc in Data Science & Business Analytics, 2021
BSc in Economics & Computer Science, 2019