Sana Pandey

Sana (UC Berkeley Data Science and Cognitive Science Undergraduate ‘24) is working with Jonathan Stray on the ethical implementation and regulation of recommender systems. Her research interests are driven by the intersection of human experiences and artificial intelligence, encompassing work on neural network-driven recommendation systems at Apple, NLP and sentiment prediction with Woebot Health, and science and technology policy trend analysis with the University of Pennsylvania’s Lauder Institute. She also holds a strong interest in the international proliferation of AI, and is a graduate of the Stanford China Scholars Program along with the Department of State’s National Security Language for Youth Initiative. In her free time, she enjoys fencing, diving into science fiction novels, and attempting to learn salsa.