Adriel Saporta


I’m a PhD candidate in Computer Science at the Courant Institute at NYU working on machine learning for health and advised by Rajesh Ranganath. I’m a DeepMind Scholar and a Shakti VC Fellow. I also co-host The AI Health Podcast with Pranav Rajpurkar.

Before joining NYU, I worked on research on Apple’s Health AI team and in Andrew Ng’s Stanford Machine Learning Group. In a previous life, I was Anna Wintour’s executive assistant at Vogue (remember The Devil Wears Prada?), and I’ve held engineering and product roles across both big tech (Apple, Amazon) and start-ups (SeatGeek, Common).

I have an MBA from the Stanford Graduate School of Business, an MS in Computer Science from Stanford University, and a BA in Comparative Literature from Yale University. I was born and raised in Brooklyn, and am half-Cuban and half-Greek.


  1. Benchmarking saliency methods for chest X-ray interpretation
    Adriel Saporta*, Xiaotong Gui*, Ashwin Agrawal*, Anuj Pareek, Steven QH Truong, Chanh DT Nguyen, Van-Doan Ngo, Jayne Seekins, Francis G. Blankenberg, Andrew Y. Ng, Matthew P. Lungren, and Pranav Rajpurkar
    Nature Machine Intelligence 2022
  2. Learning Invariant Representations with Missing Data
    Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, and Andrew C. Miller
    CLeaR (Causal Learning and Reasoning) 2022
  3. RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
    Saahil Jain*, Ashwin Agrawal*, Adriel Saporta*, Steven Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew Lungren, Andrew Ng, Curtis Langlotz, Pranav Rajpurkar, and Pranav Rajpurkar
    NeurIPS Datasets and Benchmarks 2021
  4. Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
    Cécile Logé*, Emily Ross*, David Dadey, Saahil Jain, Adriel Saporta, Andrew Ng, Pranav Rajpurkar, and Pranav Rajpurkar
    NeurIPS Datasets and Benchmarks 2021