Office Info

924 Westwood Blvd., Suite 420, Room P

Yiwen Meng

PhD Student

  • UCLA Bioengineering


Yiwen Meng is a PhD Student in Medical Imaging Informatics (MII) Group with Bioengineering department of University of Carlifornia, Los Angeles (UCLA). He is also the Graduate Student Reseacher in Radiological Science of UCLA.His main research interest is using data collected by wearable electronic devices and patient's electronic health record (EHR) to predict and diagnose physical and mental symptoms or diseases. Right now, he is working on applying discrete Hidden Markov Model (HMM) to predict patient's health status by data collected from Fitbit for patients with ischemic heart disease. He has built up theoretical background in statistical machine learning, deep learning as well as hardware development for non-invasive biomedical devices. He also serves as a reviewer for several journals like IEEE Transaction on biomedical circuits and systems. Before coming to UCLA, he obtained his BS and MS degree in Elecitrical Engineering at Iowa State Univerisity in 2014 and 2015, respectively.



Meng Y, Speier W, Ong M, Arnold CW. Multi-level embedding with topic modeling on electronic health records for predicting depression. Proc AAAI Health Intelligence Workshop. New York City, NY. February 7-12, 2020.


Meng Y, Speier W, Shufelt C, Joung S, E Van Eyk J, Bairey Merz CN, Lopez M, Spiegel B, Arnold CW. A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. IEEE J Biomed Health Inform. 2020 Mar;24(3):878-884. DOI: 10.1109/JBHI.2019.2922178. Epub 2019 Jun 11. PMID: 31199276; PMCID: PMC6904535.

Research Projects