About

I’m an artificial intelligence researcher specializing in algorithmic decision-making under uncertainty. I’ve recently decided to leave academia in order to pursue something new. Before this, I worked on fundamental machine learning research, spanning both theory and empirical work on classical models, at Cornell University (as faculty), the University of Cambridge (as postdoc), and Imperial College London (PhD).

Research. I’ve published approximately 25 machine learning papers, all of them at top conferences (NeurIPS, ICML, ICLR) or equivalently selective venues. I’ve also won best paper awards (or runner-up) twice, at ICML and AISTATS. For more information about my papers, see below.

Writing