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 broadly interested in the social implications of machine learning, usually focusing on empirical questions in NLP and/or healthcare. My recent projects study how language modeling 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 interned with Apple’s Siri Research team, 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.