Bio

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)

Contact

  • Work
    arjundd@stanford.edu
    University - Staff Department: Rad/Integrative Biomedical Imaging Informatics at Stanford Position: Casual - Non-Exempt
    University - Affiliate Department: Rad/Integrative Biomedical Imaging Informatics at Stanford

Additional Info