Arjun Desai is a 4th year PhD candidate working with Akshay Chaudhari and Chris Ré. He is broadly interested in how we can accelerate the pace at which artificial intelligence can be used robustly, safely and at scale in practice. His research focuses on the intersection of signal processing and machine learning and how we can build scalable deployment and validation systems for applications in heathcare and the sciences.
Education & Certifications
MS, Stanford University, Electrical Engineering (2021)
B.S.E, Duke University, Biomedical Engineering & Computer Science (2018)