Yonghui Wu

Yonghui Wu

AST PROF

Department: MD-HOP BIOMED INFORMATICS
Business Phone: (352) 294-8436
Business Email: yonghui.wu@ufl.edu

About Yonghui Wu

Dr. Wu is an Assistant Professor in the College of Medicine, Department of Health Outcomes & Biomedical Informatics at the University of Florida. Dr. Wu’s research interests include Natural Language Processing (NLP) and Machine Learning. He has published over 60 peer-reviewed papers and has been the principal investigator for a number of grants, including an NLP grant from Patient-Centered Outcomes Research Institute. His research has contributed substantially to clinical and biomedical NLP – including information extraction from clinical notes and biomedical literature, Word Sense Disambiguation (WSD) for ambiguous biomedical terms; predictive modeling for drug adverse reactions and drug new indications (known as drug repurposing); various applications to apply NLP and machine learning to solve clinical and translational problems.

Dr. Wu received his Ph.D. from the Harbin Institute of Technology, School of Computer Science with a focus on natural language processing. Then, he entered medical informatics research with a motivation to help improve the quality of healthcare delivery and the safety of patients. He has Biomedical informatics training at Vanderbilt University (2010-2012) and then University of Texas Health Science Center at Houston (2012-2014).

Honors & Awards

Top-ranked (#2) ”end-to-end system” to identify medications, adverse druge events and their relations
2018 · 2018 N2C2 challenge
Top-ranked (#3) ”medications and adverse drug events concepts recognition” system
2018 · 2017 MADE challenge
One of the best articles from the literature in the Natural Language Process- ing subfield of medical informatics
2017 · International Medical Informatics Association (IMIA)
Best performed ”chemical-induced disease relation extraction” system
2015 · 015 BioCreative V open challenge
Top-ranked (#1) clinical abbreviation disambiguation system
2014 · 2013 ShARe/CLEF eHealth Shared Tasks in Clinical NLP
Top-ranked (#1) “temporal relation extraction” system
2012 · 2012 i2b2 Clinical NLP challenge
Finalist of best paper award (Co-first author), AMIA Translational Bioinformat- ics Summit
2012 · AMIA

Grants

January 2020ACTIVE
Data Science in Health Informatics Workshop with Deep Learning Winter 2020
NORTHEASTERN UNIVERSITY OF CHINA ·
January 2020ACTIVE
The benefits and harms of lung cancer screening in Florida
NATL INST OF HLTH NCI ·
January 2020ACTIVE
Extracting information from clinical narratives for Clinical Outcomes Research
PATIENT-CENTERED OUTCOMES RES INST · Principal Investigator
April 2019ACTIVE
Advancing Interdisciplinary Science of Aging through Identification of Iatrogenic Complications: The UF EHR Clinical Data Infrastructure for Enhanced Patient Safety among the Elderly (UF-ECLIPSE)
NATL INST OF HLTH NIA ·
February 2019ACTIVE
Utilizing Data from the Electronic Medical Record to Predict Alzheimers and Dementia Risk
FL DEPT OF HLTH ED ETHEL MOORE ALZHEIMER ·

Education

2010
Ph.D. in Computer Application Technology
Harbin Institute of Technology
2005
M.S. in Computer Science and Technology
Harbin Institute of Technology
2003
B.S. in Computer Science and Technology
Harbin University of Science and Technology

Contact Details

Phones:
Business:
(352) 294-8436
Emails:
Business:
yonghui.wu@ufl.edu
Addresses:
Mailing:
PO Box 100177
GAINESVILLE, FL 32610
Physical:
2004 MOWRY RD
GAINESVILLE, FL 32610