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职业迁徙
个人简介
Dr. Liu completed doctoral training in pattern recognition and artificial intelligence, with strong expertise on natural language processing, machine learning (deep learning), and biomedical informatics. His research focuses on exploiting advanced computational models to analyze heterogeneous and complex healthcare data for knowledge extraction, predictive modeling and preventative data analytics, in the areas of suicide prevention, HIV prevention, cancer informatics and stroke management.
Over more than 10 years in this field, Dr. Liu has published more than 60 peer reviewed manuscripts (29 first-author) on premium journals and top computer science conferences. He have served co-investigator (lead data scientist) on 5 NIH-funded R01 projects, and participated NSF study sections in the area of machine learning and natural language processing. Through developing advanced machine learning methods, Dr. Liu has won the first place in two international challenge tasks: Medical Visual Question Answering (2018) and Gene Mutation/Disease Relation Extraction (2019).
Recently Dr. Liu's research focuses on applying AI techniques to advance health equity, assessing and mitigating potential biases related to data processing and algorithmic training. In 2022, he has been selected by the National Institute of Health and AIM-AHEAD Principal Investigators for the AIM-AHEAD Fellowship Program in Leadership Award.
Over more than 10 years in this field, Dr. Liu has published more than 60 peer reviewed manuscripts (29 first-author) on premium journals and top computer science conferences. He have served co-investigator (lead data scientist) on 5 NIH-funded R01 projects, and participated NSF study sections in the area of machine learning and natural language processing. Through developing advanced machine learning methods, Dr. Liu has won the first place in two international challenge tasks: Medical Visual Question Answering (2018) and Gene Mutation/Disease Relation Extraction (2019).
Recently Dr. Liu's research focuses on applying AI techniques to advance health equity, assessing and mitigating potential biases related to data processing and algorithmic training. In 2022, he has been selected by the National Institute of Health and AIM-AHEAD Principal Investigators for the AIM-AHEAD Fellowship Program in Leadership Award.
研究兴趣
论文共 123 篇作者统计合作学者相似作者
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Peng Zhou,Zixiu Li,Feifan Liu, EuiJin Kwon, Tien-Chan Hsieh,Shangyuan Ye,Shobha Vasudevan, JungAe Lee,Chan Zhou
biorxiv(2024)
HELIYONno. 1 (2024): e23405-e23405
Yun J Yoo,Kenneth J Wilkins,Fadhl Alakwaa,Feifan Liu,Luke A Torre-Healy, Spencer Krichevsky,Stephanie S Hong,Ankit Sakhuja,Chetan K Potu,Joel H Saltz,Rajiv Saran,Richard L Zhu,
Clinical journal of the American Society of Nephrology : CJASNno. 8 (2023): 1006-1018
Blood cancer journalno. 1 (2023): 180-180
Journal of biomedical informatics (2023): 104343
Xiao Li,Gaopeng Lu,Ziyi Wang,Rubin Jiang,Yanfeng Fan,Yucheng Zi,Feifan Liu, Kainat Qamar, Alice Nambalirwa,Tao Shi,Baoyou Zhu
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