Jennifer N Wei

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Benjamin Sanchez-LengelingResearch Scientist at Google DeepmindVerified email at google.com
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Verified email at utoronto.ca
David DuvenaudAssociate Professor, University of TorontoVerified email at cs.toronto.edu
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Alexander Bame WiltschkoOsmoVerified email at osmo.ai
Brian LeeResearch Software Engineer, GoogleVerified email at google.com
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Rafael Gómez-BombarelliAssociate Professor, MIT DMSEVerified email at mit.edu
Jorge Aguilera-IparraguirreRecursion PharmaceuticalsVerified email at recursionpharma.com
Dennis SheberlaPostdoctoral Associate, Harvard UniversityVerified email at g.harvard.edu
Richard C GerkinHead of Neuroscience, Osmo; Full Research Professor, Arizona State UniversityVerified email at asu.edu
Wesley Wei QianOsmoVerified email at osmo.ai
Dr. Karthik KumarRohde & SchwarzVerified email at tuta.io
Ravi Sadananda HegdeIndian Institute of Technology GandhinagarVerified email at iitgn.ac.in
Huigao DuanHunan UniversityVerified email at hnu.edu.cn
Lucy J. ColwellCambridge UniversityVerified email at google.com
Kevin McCloskeyGoogleVerified email at google.com
Emily ReifGoogleVerified email at google.com
Victor BatistaJohn Gamble Kirkwood Professor of Chemistry, Yale UniversityVerified email at yale.edu
Phil De LunaCarbontech Innovator | Forbes 30 Under 30Verified email at nrc-cnrc.gc.ca

Jennifer N Wei

Open Molecular Software Foundation

Verified email at omsf.io

Cheminformatics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic chemical design using a data-driven continuous representation of molecules R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ... ACS central science 4 (2), 268-276, 2018	2774	2018
Printing colour at the optical diffraction limit K Kumar, H Duan, RS Hegde, SCW Koh, JN Wei, JKW Yang Nature nanotechnology 7 (9), 557-561, 2012	928	2012
Neural networks for the prediction of organic chemistry reactions JN Wei, D Duvenaud, A Aspuru-Guzik ACS Central Science 2 (10), 725-732, 2016	409	2016
Use machine learning to find energy materials P De Luna, J Wei, Y Bengio, A Aspuru-Guzik, E Sargent Nature 552 (7683), 23-27, 2017	114	2017
Rapid Prediction of Electron–Ionization Mass Spectrometry Using Neural Networks JN Wei, D Belanger, RP Adams, D Sculley ACS Central Science 5 (4), 700-708, 2019	109	2019
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ... arXiv preprint arXiv:1910.10685, 2019	103	2019
Evaluating attribution for graph neural networks B Sanchez-Lengeling, J Wei, B Lee, E Reif, P Wang, W Qian, ... Advances in neural information processing systems 33, 5898-5910, 2020	94	2020
The Active Site of Melanopsin: The Biological Clock Photoreceptor S Sekharan, JN Wei, VS Batista Journal of the American Chemical Society 134 (48), 19536-19539, 2012	49	2012
QM/MM Model of the Mouse Olfactory Receptor MOR244-3 Validated by Site-Directed Mutagenesis Experiments S Sekharan, MZ Ertem, H Zhuang, E Block, H Matsunami, R Zhang, ... Biophysical journal 107 (5), L5-L8, 2014	38	2014
A principal odor map unifies diverse tasks in human olfactory perception BK Lee, EJ Mayhew, B Sanchez-Lengeling, JN Wei, WW Qian, K Little, ... BioRxiv, 2022.09. 01.504602, 2022	9	2022
A principal odor map unifies diverse tasks in olfactory perception BK Lee, EJ Mayhew, B Sanchez-Lengeling, JN Wei, WW Qian, KA Little, ... Science 381 (6661), 999-1006, 2023	7	2023
Metabolic activity organizes olfactory representations WW Qian, JN Wei, B Sanchez-Lengeling, BK Lee, Y Luo, M Vlot, ... Elife 12, e82502, 2023	7	2023
Evaluating Attribution for Graph Neural Networks AB Wiltschko, B Sanchez-Lengeling, B Lee, E Reif, J Wei, KJ McCloskey, ...	5	2020
The Chemistry of Smell: Learning Generalizable Perceptual Representations of Small Molecules B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ...	4*
Exploring Machine Learning Applications to Enable Next-Generation Chemistry JN Wei Harvard University, 2019	2	2019
Predicting Properties of Amorphous Solids with Graph Network Potentials M Aykol, JN Wei, S Batzner, A Merchant, ED Cubuk 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023	1	2023
A deep learning and digital archaeology approach for mosquito repellent discovery JN Wei, M Vlot, B Sanchez-Lengeling, BK Lee, L Berning, MW Vos, ... bioRxiv, 2022.09. 01.504601, 2022	1	2022
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions H Tsuruta, H Yamazaki, R Maeda, R Tamura, JN Wei, Z Mariet, ... arXiv preprint arXiv:2306.03329, 2023		2023
Supporting Information for Neural networks for the prediction of organic chemistry reactions JN Wei, D Duvenaud, A Aspuru-Guzik

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