I am a PhD student at NYU working with Eugene Vinitsky. My research interests are in building autonomous agents that learn by interacting with the environment through the lens of sequential decision making. A focus of my research is to understand the interaction of several agents and study emergent intelligent behaviors. I am particularly interested in the settings of non-stationary environments and incomplete observations—like in multi-agent RL. I also have an interest in and find inspiration from stochastic control, probability theory and statistics.

Previously, I worked at Morgan Stanley (trading interest rate products), Intercontinental Exchange (pricing various securities), and Goldman Sachs (ML research). I earned an MS and an MPhil from Columbia University, where I researched Bayesian methods and nonparametric statistics. I completed my undergraduate degree in mechanical engineering at IIT Delhi, where I focused on operations research.

You can get in touch with me at adityamakkar@nyu.edu. See my Google Scholar profile for my research.

I sometimes write blog posts on academic topics. See Otium.