Sotabase

Career

· Co-Founder, Keiji AI2025–
· Global Head Of AI Research, IQVIA2021–2021
· Health Innovation Professor, University of Illinois Urbana-Champaign2021–
· Professor, University of Illinois Urbana-Champaign2020–
· Associate Professor, Georgia Institute of Technology2013–2020
· Research Staff Member, IBM TJ Watson research center2010–2013
· Research Staff Member, IBM TJ Watson research center2007–2013
· Summer Intern, IBM TJ Watson Research Center2006–2006
· Summer Intern, PricewaterhouseCoopers2005–2005
· Summer Intern, PricewaterhouseCoopers2004–2004
· PhD Student, Carnegie Mellon University2003–2007

Publications (125)

Scientific discovery in the age of artificial intelligence
Nature · 2023
1,351
cited
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Machine Learning in Health Care · 2015
1,189
cited
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Conference on Empirical Methods in Natural Language Processing · 2022
736
cited
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
Knowledge Discovery and Data Mining · 2018
599
cited
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
NeurIPS Datasets and Benchmarks · 2021
377
cited
DeepPurpose: a deep learning library for drug–target interaction prediction
Bioinform. · 2020
374
cited
From hype to reality: data science enabling personalized medicine
BMC Medicine · 2018
341
cited
MetaFac: community discovery via relational hypergraph factorization
Knowledge Discovery and Data Mining · 2009
250
cited
Expert-level sleep scoring with deep neural networks
J. Am. Medical Informatics Assoc. · 2018
249
cited
Matching Patients to Clinical Trials with Large Language Models
Nature Communications · 2023
190
cited
Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
JMIR Medical Informatics · 2018
175
cited
Artificial intelligence foundation for therapeutic science
Nature Chemical Biology · 2022
160
cited
Centralities in Large Networks: Algorithms and Observations
SDM · 2011
150
cited
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Found. Trends Mach. Learn. · 2023
149
cited
Fast Random Walk Graph Kernel
SDM · 2012
139
cited
SkipGNN: predicting molecular interactions with skip-graph networks
Scientific Reports · 2020
138
cited
Time-Sensitive Recommendation From Recurrent User Activities
Neural Information Processing Systems · 2015
137
cited
GBASE: a scalable and general graph management system
Knowledge Discovery and Data Mining · 2011
126
cited
Colibri: fast mining of large static and dynamic graphs
Knowledge Discovery and Data Mining · 2008
125
cited
The United States COVID-19 Forecast Hub dataset
Scientific Data · 2021
125
cited
Sotabase