goutham

Goutham Rajendran
Email: gouthamrdn [at] gmail [dot] com
Google Scholar

Hi, I'm Goutham.

About me

I am currently on the LLaMA team at Meta GenAI, where I work on large-scale distributed training of LLMs, specifically focusing on multimodality and reasoning capabilities.

Previously, I spent a fantastic time as a Research Associate in the Machine Learning Department at Carnegie Mellon University, working with Pradeep Ravikumar. I worked on representation learning and generative models, researching how to learn representations of data that are interpretable and controllable. This lets us improve pre-trained generative models, such as LLMs and diffusion models, to not only be accurate and robust, but also be highly customizable and aligned.

Before that, 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.

Publications

Machine Learning:

2024

2023

2022

2021


Theoretical Computer Science:

(** indicates alphabetical author list, as is customary)

2024

2023

2022

2021

2020

2018


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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