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Jingcheng Du, PhD

Assistant Professor

Jingcheng Du, Ph.D., joined the UTHealth School of Biomedical Informatics in February 2020 as an assistant professor. Dr. Du received his PhD in Biomedical Informatics from UTHealth under the supervision of Dr. Cui Tao. He was a predoctoral research fellow with CPRIT-UTHealth – Fellowship and a summer intern at NCBI/NLM/NIH under the supervision of Dr. Zhiyong Lu. He has previously conducted research in machine learning, natural language processing and ontology on biomedical and social media data. Dr. Du is interested in various healthcare topics such like vaccine promotion, mental health and post-marketing vaccine/drug surveillance. He has published over 40 peer-reviewed papers, and his first-authored papers appeared in the leading medical informatics journals including npj Digital Medicine, JAMIA, and JMIR.

Dr. Du was invited to serve on the 2017-2018 Student Editorial Board for the JAMIA. He has served as program committee member for several international conferences or workshops, including IEEE ICHI, ISMB and KDD DSHealth. He was invited to serve as ad hoc reviewers for more than 20 journals and conferences. Dr. Du has received numerous awards and honors in the last few years, including first place on two national clinical natural language processing challenges (2018 N2N2 and 2018 BioCreative/OHNLP), UTHealth Thomas F. Burks Scholarship for Academic Merit, Paul C. Boyle Award for Excellence in Research, etc.

“Big health data, including EHR data, omics data, and consumer-generated data (e.g. social media), are very valuable in understanding patients’ history and predict their future well-beings,” says Du. “I’m enthusiastic to develop AI algorithms and informatics tools to extract actionable knowledge from the heterogeneous health data.”

Phone: 713-500-3621
Fax: 713-500-3929

Staff Support

 Yukiko Bryson
Phone: 713-500-3992


  • PhD, Biomedical Informatics, University of Texas Health Science Center at Houston, 2019
  • BS, Mechanical Engineering, Xidian University, China, 2013

Areas of Expertise

  • Natural language processing
  • Machine learning
  • Ontology
  • Social media text mining

Selected Publications:

  • Du J, et al. Leveraging Deep Learning to Understand Health Beliefs about the Human Papillomavirus Vaccines from Social Media. npj Digital Medicine 2019 Apr 15;2(1):27.
  • Du J, et al. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal of the American Medical Informatics Association. 2019 Nov;26(11):1279-85.
  • Du J, et al. Gene2Vec: Distributed Representation of Genes Based on Co-Expression, BMC genomics. 2019 Feb;20(1):82.
  • Du J, et al. Extract Psychiatric Stressors from Twitter Using Deep Learning, BMC Medical Informatics and Decision Making 2018 Jul;18(2):43.
  • Du J, et al. Public Perception Analysis of Tweets during the 2015 Measles Outbreak Using a Neural Network Model. Journal of Medical Internet Research, 20(7), p.e236.