Dr. Ping ZhangBased in Yorktown Heights, NY, United States
Ping Zhang is a Research Staff Member at the Center for Computational Health, IBM T. J. Watson Research Center. His research focuses on machine learning, data mining, and their applications to biomedical informatics and computational medicine. Dr. Zhang is an ACM Distinguished Speaker and an IEEE Senior Member. He has published more than 40 peer-reviewed scientific articles in top journals and conferences (e.g., Nucleic Acids Research, BMC Bioinformatics, Journal of the American Medical Informatics Association, KDD, AAAI, ECML, SDM, and CIKM) and filed more than 25 patent applications. Dr. Zhang has served on the program committees of leading international conferences, including KDD, IJCAI, UAI, and AMIA, and on the editorial boards of BMC Medical Informatics and Decision Making, CPT: Pharmacometrics & Systems Pharmacology and Journal of Healthcare Informatics Research. He won the best in-use/industrial paper award for ESWC 2016 and received a Marco Ramoni Distinguished Paper nomination at AMIA Summits 2014. More details can be found at http://researcher.watson.ibm.com/researcher/view.php?person=us-pzhang.
ACM Distinguished Speaker: 2018 - present;
Media and Publicity Co-chair: 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining;
Program Committee for more than 30 international conferences including ACM KDD, ACM CIKM and ACM BCB;
Journal Reviewer for more than 20 prestigious journals including ACM Transactions on Knowledge Discovery from Data and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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Predictive Modeling of Drug Effects: Learning from Biomedical Knowledge and Clinical Records
Drug discovery is a time-consuming and laborious process. Lack of efficacy and safety issues are the two major reasons for which a drug fails clinical trials, each accounting for around 30% of...
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