Email: gouthamr [at] cmu [dot] edu

Hi, I'm Goutham Rajendran.

About me

I am a Research Associate in the Machine Learning Department at Carnegie Mellon University, working with Pradeep Ravikumar. I currently work on representation learning and generative models, researching how to learn representations of data that are interpretable and controllable. The outcome is to build generative models that are not only accurate and robust, but also highly customizable, which enables alignment with our desiderata such as fairness, reasoning or planning.

Previously, I graduated with a PhD in Computer Science from the University of Chicago, where I was extremely fortunate to have been advised by Madhur Tulsiani (Toyota Technological Institute at Chicago) and Aaron Potechin (University of Chicago). My thesis investigated the applicability of modern convex optimization techniques for various problems in machine learning and robust statistics.


Machine Learning: Theoretical Computer Science: (** indicates alphabetical author list, as is customary)

Fun stuff

I used to be a competitive programmer, including competing in ICPC. My handle in online judges is xorfire: Codeforces, Topcoder, Codechef.

In another life, I would have been a professional footballer (read: soccer) but in this one, my career has been plagued with injuries :)

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