Google Scholar for my full publication list.
Selected projects below. (* denotes equal contribution)
Designing proteins with language models
Jeffrey A. Ruffolo and Ali Madani
[Paper] Nature Biotechnology 2024
Large language models generate functional protein sequences across diverse families
Ali Madani, Ben Krause, Eric R. Greene, Subu Subramanian, Benjamin P. Mohr, James M. Holton, Jose Luis Olmos Jr., Caiming Xiong, Zachary Z. Sun, Richard Socher, James S. Fraser, Nikhil Naik
[Blog] [Paper] [News & Views] [Science] Nature Biotechnology 2023
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani
[Paper] [Code] [Yannic Kilcher] [The Batch] ICLR 2021
ProGen: Language Modeling for Protein Generation
Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher
[Paper] [Blog] [VentureBeat] [Import AI] NeurIPS MLSB Workshop 2020
Deep Learning-enabled Breast Cancer Hormonal Receptor Status Determination from Base-level H&E Stains
Nikhil Naik, Ali Madani, Andre Esteva, Nitish Keskar, Michael Press, Dan Ruderman, David Agus, Richard Socher
[Paper] [VentureBeat] Nature Communications 2020
Fast and accurate view classification of echocardiograms using deep learning
Ali Madani, Ramy Arnaout, Mohammad R.K. Mofrad, Rima Arnaout
[Paper] [CNET] [IEEE Spectrum] Nature: Digital Medicine 2018