Hi, I’m Raj, a CS PhD student at Cornell Tech. I am advised by Emma Pierson and supported by an NSF graduate fellowship. I’m interested in the social implications of machine learning, with a focus on NLP, language models, and healthcare. My recent projects study how LLM research is becoming increasingly sociotechnical and how coarse race categories undermine algorithmic fairness audits.

Previously, I studied CS at MIT with minors in Women’s & Gender Studies and Biology. I was lucky to work with the Data + Feminism Lab, where we developed intersectional, participatory NLP systems to support activist labor (FAccT 2022). I’ve also interned at Apple Research, studying efficiency and compression for language models [1, 2]. I am very thankful to my excellent mentors along the way, including Harini Suresh, Jonathan Frankle, and Shayne Longpre; see here for a longer list of people who I’m indebted to! I was also president of AI@MIT, where I helped design intro ML workshops and ordered lots of food.

I hew closely to PhD stereotypes: my primary hobbies are baking, rock climbing, reading, mixology, and tennis. If you’d like to read some unreliable recipes I’ve written, see here.

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