Bharath Ramsundar

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Vijay PandeAndreessen Horowitz, Stanford UniversityVerified email at stanford.edu
Evan N. FeinbergStanford UniversityVerified email at stanford.edu
Zhenqin WuPhD Student, Stanford UniversityVerified email at stanford.edu
Swaminathan SundararamanPyxeda AIVerified email at cs.wisc.edu
Karl LeswingSchrodinger IncVerified email at schrodinger.com
Andre EstevaCo-Founder & CEO, ArteraVerified email at artera.ai
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindVerified email at google.com
Bowen Liuinsitro, previously StanfordVerified email at cs.stanford.edu
Dale R WebsterResearch Director, GoogleVerified email at google.com
Steven KearnesRelay TherapeuticsVerified email at relaytx.com
David KonerdingGenentechVerified email at konerding.com
Patrick RileyRelay TherapeuticsVerified email at relaytx.com
Prasad KawthekarStanford CS 2018Verified email at stanford.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Raju RangaswamiFlorida International UniversityVerified email at cs.fiu.edu
Robert T. McGibbonD.E. Shaw ResearchVerified email at DEShawResearch.com
Gert KissRevolution MedicinesVerified email at revolutionmedicines.com
Mohammad Muneeb SultaninsitroVerified email at insitro.com
Yusuf Bugra EROLPhD Student, UC BerkeleyVerified email at eecs.berkeley.edu
Lei LiCarnegie Mellon UniversityVerified email at cs.cmu.edu

Bharath Ramsundar

Deep Forest Sciences, DeepChem, previously Computable, previously Stanford

Verified email at stanford.edu

Differentiable Physics Drug Discovery Machine Learning Cryptography Cryptoeconomics


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A guide to deep learning in healthcare A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ... Nature medicine 25 (1), 24-29, 2019	2304	2019
MoleculeNet: a benchmark for molecular machine learning Z Wu, B Ramsundar, EN Feinberg, J Gomes, C Geniesse, AS Pappu, ... Chemical science 9 (2), 513-530, 2018	1904	2018
Low data drug discovery with one-shot learning H Altae-Tran, B Ramsundar, AS Pappu, V Pande ACS central science 3 (4), 283-293, 2017	727	2017
Massively multitask networks for drug discovery B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande arXiv preprint arXiv:1502.02072, 2015	565	2015
Non-volatile key-value store N Talagala, S Sundararaman, B Ramsundar, A Batwara US Patent 9,075,710, 2015	460	2015
Deep learning for the life sciences: applying deep learning to genomics, microscopy, drug discovery, and more B Ramsundar, P Eastman, P Walters, V Pande " O'Reilly Media, Inc.", 2019	446*	2019
Retrosynthetic reaction prediction using neural sequence-to-sequence models B Liu, B Ramsundar, P Kawthekar, J Shi, J Gomes, Q Luu Nguyen, S Ho, ... ACS central science 3 (10), 1103-1113, 2017	399	2017
PotentialNet for molecular property prediction EN Feinberg, D Sur, Z Wu, BE Husic, H Mai, Y Li, S Sun, J Yang, ... ACS central science 4 (11), 1520-1530, 2018	291	2018
Conditional iteration for a non-volatile device B Ramsundar, N Talagala, S Sundararaman US Patent 9,519,575, 2016	251	2016
Is multitask deep learning practical for pharma? B Ramsundar, B Liu, Z Wu, A Verras, M Tudor, RP Sheridan, V Pande Journal of chemical information and modeling 57 (8), 2068-2076, 2017	236	2017
Computational modeling of β-secretase 1 (BACE-1) inhibitors using ligand based approaches G Subramanian, B Ramsundar, V Pande, RA Denny Journal of chemical information and modeling 56 (10), 1936-1949, 2016	225	2016
Atomic convolutional networks for predicting protein-ligand binding affinity J Gomes, B Ramsundar, EN Feinberg, VS Pande arXiv preprint arXiv:1703.10603, 2017	214	2017
ChemBERTa: large-scale self-supervised pretraining for molecular property prediction S Chithrananda, G Grand, B Ramsundar arXiv preprint arXiv:2010.09885, 2020	210	2020
TensorFlow for deep learning: from linear regression to reinforcement learning B Ramsundar, RB Zadeh " O'Reilly Media, Inc.", 2018	182	2018
{NVMKV}: A Scalable and Lightweight Flash Aware {Key-Value} Store L Marmol, S Sundararaman, N Talagala, R Rangaswami, S Devendrappa, ... 6th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 14), 2014	69	2014
AMPL: a data-driven modeling pipeline for drug discovery AJ Minnich, K McLoughlin, M Tse, J Deng, A Weber, N Murad, BD Madej, ... Journal of chemical information and modeling 60 (4), 1955-1968, 2020	54	2020
Determining validity of machine learning algorithms for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/049,647, 2020	38	2020
Machine learning abstraction N Talagala, V Sridhar, S Sundararaman, S Ghanta, L Amar, L Khermosh, ... US Patent 11,748,653, 2023	34	2023
Solving the RNA design problem with reinforcement learning P Eastman, J Shi, B Ramsundar, VS Pande PLoS computational biology 14 (6), e1006176, 2018	34	2018
Understanding protein dynamics with L1-regularized reversible hidden Markov models R McGibbon, B Ramsundar, M Sultan, G Kiss, V Pande International Conference on Machine Learning, 1197-1205, 2014	28	2014

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