About Me

I serve as an associate adjunct professor of computer science and a research scientist at UCLA's center for SMART health. My previous roles include managing technical director at the Clinical and Translational Science Institute, UCLA David Geffen School of Medicine, and chief technologist in the Big Data and Analytical Unit, Department of Surgery and Cancer, at Imperial College London. My academic journey includes a PhD, "An Artificial Intelligence Framework for Investigative Reasoning", focusing on reformulation of AI problems and combined reasoning.

I have dedicated efforts towards the goal of transforming healthcare with artificial intelligence, focusing on novel methodologies for data analysis, development of remote patient monitoring frameworks, and construction of healthcare ecosystems. Collectively, they aim to harness diverse data-generating activity and biomarker sensors, electronic health records and interactive tools, in concert, to elucidate patients storylines beyond the confines of traditional care facilities. Through my research I seek to enhance our understanding and management of patients health in a more continuous and context-aware manner, improving care quality, personalizing healthcare, and facilitating early disease detection.

Awards

• Best Paper Award in 2022 for pioneering deep transfer learning in ECG heartbeat classification
• Honorable mention in 2022 for innovating range of motion sensors for knee arthroplasty recovery monitoring
• Recipient of EPSRC Ph.D. Studentship (2008-2011), Imperial College London, to work on "A Cognitive Model of Axiom Formulation and Reformulation" in AI and software engineering.
• Department of Computing Scholarship (2008-2012), Imperial College London
• 1 of 8 receipients of ORSAS Ph.D. Scholarship (2008-2011) Lancaster University to work on "Error Control Coding"
• Graduated with Distinction, top 3, MSc Communication Systems, Lancaster University, 2007
• Nokia Award for the best M.Sc. project, 2007

Teaching

• Health Analytics (graduate course CS 205)
• AI and Health (graduate course CS239)
• Logic Circuit Design in Digital Systems (Undergrad M51A, Winter 2020)

Students

PhD Students:
Wenhao Zhang (2017-2023, currently post-doctoral scientist at Cedar-Sinai)
Minh Cao (2018-present)
Fahimeh Fakour (2020-present)
MSc Students:
Xiaoxuan Yang 2018, currently Assistant Professor in Electrical and Computer Engineering at University of Virginia
Zhu Jiayi; Kexin Zheng; Jonathan Tran; Tianyi Tang; Chae Yeon Seo; Justin Hu; Gregory Sark Grigorian; Chun-yao Chang; Tianqi Zhao 2023; Kevin Tang 2023; Lily Takahari 2023; Vedant Adwait Sathye 2023; Yanxun Li 2023; Hannah Shiyue Jian 2023; Jonathan Chau 2022; Amirali Yazdi-nejad 2020; Trevor Rollins 2020; Jersey Deng 2020; Vishwa Karia 2019

Grants

• Apple-UCLA: Mobile Mental Health Study, 2019 - 2024 (Co-PI)
• NIH: DHHS-Agency for Health Care Research and Quality, R01HS024394-01, $1,500,000, Sensing in At Risk Populations (SARP): Monitoring performance status, activities of daily living, and independence to promote safe outcomes for elderly patients in rehab, the home and long-term care, 2016 - 2019 (Co-PI)
• EPSRC Grant EP/L023814/1: £350,000 Quantified-self for obesity: Physical activity behaviour sensing to improve health outcomes from surgery for severe obesity, 2014 - 2015 (Co-PI)

Publications

Books

Complete List

Talks