Jimeng Sun

About

Jimeng Sun is a professor at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign. His research interests focus on artificial intelligence (AI) for healthcare, including deep learning for drug discovery, clinical trial optimization, computational phenotyping, clinical predictive modeling, treatment recommendation, and health monitoring. He is involved in data and information systems, bioinformatics, and computational biology, applying AI techniques to advance healthcare solutions. Sun has contributed to the development of deep learning methods specifically tailored for healthcare applications and has been recognized for his influence in the field. He has taught courses related to deep learning and AI in medicine and actively engages in research that leverages AI to improve clinical outcomes and accelerate medical research processes.

Research topics

• Computer Science
• Artificial Intelligence
• Data Mining
• Machine Learning
• Political Science
• Econometrics
• Medicine
• Geography
• Business
• Data science

Selected publications

• Scientific discovery in the age of artificial intelligence

  Nature · 2023 · 1538 citations

  PublisherDOI

• DeepPurpose: a deep learning library for drug–target interaction prediction

  Bioinformatics · 2020 · 462 citations

  Senior authorCorresponding

  SUMMARY: Accurate prediction of drug-target interactions (DTI) is crucial for drug discovery. Recently, deep learning (DL) models for show promising performance for DTI prediction. However, these models can be difficult to use for both computer scientists entering the biomedical field and bioinformaticians with limited DL experience. We present DeepPurpose, a comprehensive and easy-to-use DL library for DTI prediction. DeepPurpose supports training of customized DTI prediction models by implemen…

  DOI

• Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

  Computers in Biology and Medicine · 2020 · 444 citations

  Senior authorCorresponding
  DOI

• Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

  Proceedings of the National Academy of Sciences · 2022 · 311 citations

  Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hu…

  DOI

• The United States COVID-19 Forecast Hub dataset

  Scientific Data · 2022 · 126 citations

  Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hosp…

  DOI

Recent grants

• SCH:INT: Collaborative Research: Deep Sense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine

  NSF · $400k · 2020–2024

• BigData:IA:Collaborative Research: TIMES: A tensor factorization platform for spatio-temporal data

  NSF · $755k · 2020–2024

• BigData:IA:Collaborative Research: TIMES: A tensor factorization platform for spatio-temporal data

  NSF · $774k · 2018–2020

Frequent coauthors

• Cao Xiao

  162 shared

• Lucas M. Glass

  IQVIA (United States)

  106 shared

• M. Brandon Westover

  Harvard University

  44 shared

• Tianfan Fu

  Rensselaer Polytechnic Institute

  37 shared

• Shenda Hong

  36 shared

• Walter F. Stewart

  35 shared

• Chaoqi Yang

  29 shared

• Christos Faloutsos

  Carnegie Mellon University

  28 shared

Labs

• Siebel School of Computing and Data SciencePI

Education

• Ph.D., Computer Science

  University of Illinois at Urbana-Champaign

  2006

• M.S., Computer Science

  University of Illinois at Urbana-Champaign

  2002

• B.S., Computer Science

  University of Science and Technology of China

  1999

Awards & honors

• Jimeng Sun and Kaiyu Guan rank among 12 Illinois scientists…

Similar researchers at University of Illinois Urbana-Champaign

• Jiawei Hanh-146
• Kaiyu Guanh-86
• ChengXiang Zhaih-83