Jianying Hu           

Dr. Jianying Hu is IBM Fellow and Global Science Leader, AI for Healthcare and Director of HCLS Research at IBM. She is also an Adjuct Professor at Ichon School of Medicine at Mount Sinai. She has conducted and led extensive research in machine learning, data mining, statistical pattern recognition, and signal processing, with applications to healthcare analytics and medical informatics, business analytics, and multimedia content analysis, with recent efforts focusing on developing AI technologies for accelerated discovery of therabeutics and biomarkers.

Dr. Hu has published over 150 peer reviewed scientific papers and holds 50 patents. She served as Chair of the Knowledge Discovery and Data Mining (KDDM) Working Group of the American Medical Informatics Association (AMIA) from 2014 to 2016, and on the Computational Science Advisory Board of Michael J. Fox Foundation from 2017 to 2018. She has served as Associate Editor for many journals including IEEE TPAMI, IEEE TIP, and Pattern Recognition, and currently serves on the Journals and Publications Committee of AMIA, Editorial Board of JAMIA Open, the Advisory Board of JHIR, and the External Advisory Board of Vanderbilt University Department of Biomedical Informatics, the External Advisory Board of the NIH AIM-AHEAD Program, and the National Academy of Science, Engineering and Medicine (NASEM) Committee on Establishing a Framework for Emerging Science, Technology and Innovation in Health and Medicine.

Dr. Hu is a fellow of the American College of Medical Informatics (ACMI), International Academy of Health Sciences Informatics (IAHSI), IEEE, and the International Association of Pattern Recognition (IAPR). She received the Asian American Engineer of the Year Award in 2013. 

Fellow, American College of Medical Informatics (Elected 2021)

Fellow, International Academy of Health Sciences Informatics (IAHSI) (Elected in 2020)

Fellow, IEEE (Elected in 2015)

Fellow, International Association for Pattern Recognition (Elected in 2010)

Asian American Engineer of The Year 2013

Current Research Interests

Therapeutic Science

Multi-modal Biomarkers Discovery, Disease Staging and Progression Modeling, AI for Clinical Trials, Representation Learning for Molecule and Biomarkers.

Recent Press and Presentations

• AAEOY Speaker Series October 2021: Artificial Intelligence for Next Generation Healthcare 
• Live Interview by Digital Trends Live on August 12, 2020: “A Better Treatment For Parkinson's”
  • https://rumble.com/v9yalh-a-better-treatment-for-parkinsons-digital-trends-live-8.12.20.html
• UCI Future Health Distinguished Lecture Series February 2020: Computational Methods for Next Generation Healthcare
• On collaboration with MJFF on modeling of Parkingsin’s (2019)
  • com: https://www.nbcnews.com/health/health-news/ibm-forms-partnership-michael-j-fox-foundation-parkinson-s-research-n956431
• On IBM collaboration with JDRF on T1D modeling (2019):
  • https://www.engadget.com/2019/06/17/IBM-ai-type-1-diabetes-screening-health/

Past Research Areas

Computational Health Science and Biomedical Informatics

Patient Similarity Analysis, Predictive Modeling, Temporal Modeling, Disease Modeling, Care Pathway Analtyics, Population Risk and Utilization Analysis, Drug Indication Expansion and Safety, AI for Clinical Trials.

Business Analytics
Portfolio analysis, services engagement modeling, demand forecasting and workforce management.

Web Document Analysis and Mining
Web content and structure mining, content extraction, page re-targeting, mobile access.

Image/Video Analysis and Retrieval
Design of distance metrics that match human perceptions for color and texture based image matching. Video scene classification, topic tracking and summarization.

Online Handwriting Recognition, Signature Verification, Pen Computing
Various aspects of the handwriting recognition problem, including model and system design using the HMM framework, decoding algorithms, feature extraction, preprocessing, and language modeling using probabilistic automata. Character recognition for handheld devices. Dynamic signature verification.

Document Understanding
Document structure analysis, particularly using layout information and linguistic knowledge, for applications such as multimedia messaging, information retrieval, web document analysis, and mobile Internet access.

Honors and Awards

1. 2022 Keynote: UP-STAT 2022
2. Elected Fellow of American College of Medical Informatics, 2021
3. 2021 Endnote: SINI 2021
4. Elected Fellow of International Academy of Health Sciences Informatics (IAHSI) , 2020
5. Senior authored paper "A probabilistic disease progression modeling approach and its application to integrated Hunting's disease observational data" selected for JAMIA Open "High Impact Open Access Research" collection: https://academic.oup.com/jamiaopen/pages/impact April 2020.
6. Senior authored paper "Artificial Intelligence for Clinical Trial Design" selected for Elsevier "AI and Big Data for Cancer" special collection: https://www.elsevier.com/events/conferences/ai-and-big-data-in-cancer/ai-and-big-data-in-cancer-special-collection March 2020
7. 2020 Keynote: Insights into Parkinson's: https://www.insightintopd.com/speakers/
8. 2020 Distinguished Lecture: Computational Methods for Next Generation Health Care, UCI Future Health Institute : https://www.youtube.com/watch?v=-FkA2Bn0Fho
9. Invited Keynote Speaker, Enterprise Computing Community Conference, 2019 (https://ecc.marist.edu/web/conference2019/featured-speakers)
10. Invited Keynote Speaker, 2019 Computational Neural Science Outcomes Center Symposium, 2019 (https://projects.iq.harvard.edu/cnoc-symposium/speakers)
11. Invited Keynote Speaker, Norwegian Conference on Artificially Intelligence in Healthcare (https://helse-nord.no/arrangementer/kunstig-intelligens-i-helsetjenesten-2019-06-18), 2019
12. Invited Plenary Speaker, Current Challenges in Computing, 2018 (https://ccubedconference.com/speakers.html)
13. Invited Keynote Speaker, Digital Diabetes Congress 2018 (https://www.diabetestechnology.org/about.shtml )
14. IBM Fellow, 2018
15. Invited Keynote, International Conference on Healthcare Informatics 2017 (http://dml.cs.byu.edu/chs/ichi2017/keynote.html)
16. Member of IBM Industry Academy (elected 2016)
17. Elected Fellow of IEEE 2015,
18. Invited Keynote, Machine Learning in Healthcare, 2014 (http://mucmd.org/conference-2014.html)
19. Asian American Engineer of The Year Award, 2013
20. Elected Fellow of International Association for Pattern Recognition , 2010
21. Recipient of 11 IBM Research Accomplishment Awards

Professional Activities

NASEM Committee on Creating a Framework for Emerging Science, Technology, and Innovation in Health and Medicine

External Advisory Board of NIH AIM-AHEAD Program

Advisory Board of Journal of Heathcare Informatics Research