Tiago da Silva

I am a researcher working in Salem Lahlou’s group at MBZUAI. Prior to this, I obtained my PhD degree in Applied Mathematics from the School of Applied Mathematics of the Getulio Vargas Foundation (FGV) under the supervision of Diego Mesquita. I also hold a BSc and MSc degrees in Data Science from the same institution. During my PhD, I worked on (large-scale) amortized inference and statistical learning theory, with a special focus on GFlowNets.

In between my PhD and my current role, I worked on pricing and risk management projects as a data scientist and engineer.

Research-wise, I am broadly interested in approximate statistical inference and (Bayesian) learning theory.