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
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ProGen2: Exploring the boundaries of protein language models
*Erik Nijkamp, *Jeffrey A. Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani
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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
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Deep Extrapolation for Attribute-Enhanced Generation
*Alvin Chan, *Ali Madani, Ben Krause, Nikhil Naik
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FLIP: Benchmark tasks in fitness landscape inference for proteins
Christian Dallago, Jody Mou, Kadina E Johnston, Bruce Wittmann, Nick Bhattacharya, Samuel Goldman, Ali Madani, Kevin K Yang
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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
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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
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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
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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
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