Goutham Rajendran
Email: gouthamr [at] andrew.cmu.edu
Resume / Google Scholar

Hi, I'm Goutham.

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 goal is to improve pre-trained generative models, such as LLMs and diffusion models, to not only be accurate and robust, but also be highly customizable, so that they can be used for fairness, reasoning, planning and other alignment purposes.

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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