My name is Nari (rhymes with "starry")
and I am a final-year PhD student
in Carnegie Mellon University's Machine Learning Department,
where I'm advised by Hoda Heidari.
I am graduating in 2026 and am actively seeking full-time positions.
My research adopts a multi-disciplinary approach to study the societal impacts of AI systems. My primary research interests include AI safety, evaluation, and governance. My dissertation research studies methods to incorporate the lived expertise held by humans into the design of evaluation metrics for generative AI systems. My ultimate goal is to advance methods that can inform issues of policy relevance, so that the emerging risks posed by frontier AI models can be better anticipated and addressed.
Previously, I graduated from Harvard in 2021 with a BA and MS in Computer Science, where I worked with Finale Doshi-Velez. I've also interned at Microsoft Research UK on the Teachable AI Experiences Team.
Email: narij at andrew dot cmu dot edu
My research adopts a multi-disciplinary approach to study the societal impacts of AI systems. My primary research interests include AI safety, evaluation, and governance. My dissertation research studies methods to incorporate the lived expertise held by humans into the design of evaluation metrics for generative AI systems. My ultimate goal is to advance methods that can inform issues of policy relevance, so that the emerging risks posed by frontier AI models can be better anticipated and addressed.
Previously, I graduated from Harvard in 2021 with a BA and MS in Computer Science, where I worked with Finale Doshi-Velez. I've also interned at Microsoft Research UK on the Teachable AI Experiences Team.
Email: narij at andrew dot cmu dot edu