Adriel Saporta

Profile

I’m a PhD candidate in Computer Science at the Courant Institute at NYU working on multimodal representation learning and AI for health, and advised by Rajesh Ranganath. I’m a DeepMind Scholar and an advisor to alphaXiv. I’m also a Shakti VC Fellow and co-hosted 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.

Publications

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

Adriel Saporta, Aahlad Puli, Mark Goldstein, and Rajesh Ranganath

NeurIPS 2024

Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation

Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation

Neil Jethani*, Adriel Saporta*, and Rajesh Ranganath

AISTATS 2023 (notable paper, oral presentation)

Benchmarking saliency methods for chest X-ray interpretation

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

Learning Invariant Representations with Missing Data

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

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

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 P. Lungren, Andrew Y. Ng, Curtis Langlotz, and Pranav Rajpurkar

NeurIPS Datasets and Benchmarks 2021 (oral presentation)

Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management

Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management

Cécile Logé*, Emily Ross*, David Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, and Pranav Rajpurkar

NeurIPS Datasets and Benchmarks 2021