Area(s) of Interest: Causal inference, Bayesian sensitivity analysis, social epidemiology, and cancer
Project(s): Current research focuses on methods for addressing complex sources of bias in observational longitudinal cohorts, including the Healthy Worker Survivor Effect and informative delayed entry. These sources of bias threaten our ability to accurately estimate the causal effects of occupational exposures on worker health.
Area(s) of Interest: Exposure-response models for occupational health studies, cardiovascular disease, health disparities
Project(s): Current research focuses on racial health disparities in cardiovascular disease mortality. "To do so, I am using a cohort mortality study of hourly workers at General Motors (GM) plants in Michigan. Specifically, I am examining the racial composition of the GM workforce across plants and over time to identify the cumulative impacts...
Area(s) of Interest: Exposure assessment, ventilation, air pollution.
Project(s):Investigating newly evolving occupational particulate matter risks - an industrial hygiene assessment using the NIOSH NORA objective framework during a pandemic
Desired Employment:
Testimonial: The UC Berkeley IH program has provided great opportunities to collaborate with world-renowned researchers and to grow...
Area(s) of Interest: Occupational Health and Safety, EHS/IH consulting, Exposure/Risk Assessment, Workers’ Rights, Ventilation, Heat Stress, Indoor Air Quality
Project(s): Methods evaluation and comparison of ventilation assessment using low-cost instruments
Desired Employment: Consulting, Industry, Government
Project(s): Currently working on my capstone project that involves a systematic literature review about occupational exposure to silver nanomaterials. I'm planning to include all related literature published since January 2021 in supplement to the latest NIOSH report of AgNPs, and also include Chinese studies of this topic.
Area of interest: Wearable technology; WMSD prevention; Physical demand prediction
Projects: 1. Using IMU sensors, pressure insoles and deep learning model to predict occupational physical activities and lifting weights. 2. Using EMG sensors and IMU sensors to measure muscle activities when people gaming with different mice.
