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Justin Yang

Research Fellow at UCL

Justin Yang is a psychiatric epidemiologist and mental health researcher based at University College London with a strong background in analyzing electronic health records using epidemiological, causal inference, and machine learning methods to study patient care and outcomes in mental health services.

Justin Yang is focused on leveraging administrative and routinely collected data to address health disparities, improve care, and enhance outcomes for individuals with serious mental health conditions such as psychosis and substance use disorders.

Justin Yang's educational journey includes a Doctor of Philosophy in Public Health and Primary Care from the University of Cambridge, a Master of Science in Health Policy from Johns Hopkins Bloomberg School of Public Health, a Post-Baccalaureate Diploma in Business Administration and Management from Thompson Rivers University, a Bachelor of Science in Biology from The University of British Columbia, and a Bachelor of Arts in English Literature from The University of British Columbia.

Throughout his career, Justin Yang has been affiliated with prestigious institutions like the University of Cambridge and University College London, holding roles such as Research Database Manager at North London Mental Health Partnership and Editorial Board Member at Substance Use: Research and Treatment at SAGE Publishing.

Justin Yang's professional experience extends to various domains including academia, research, healthcare, and market access, as evidenced by his engagements as an Honorary Lecturer at Queen Mary University of London, Research Fellow at UCL, and Senior Associate in Market Access and Reimbursement at Avalere Health among other roles.

Justin Yang's dedication to mental health research is reflected in his memberships with key organizations like the Society for Epidemiologic Research and the Society for the Study of Addiction.

Justin Yang's expertise lies in psychiatric epidemiology, mental health research, data analysis, health disparities, causal inference, machine learning, and using administrative data for improved patient outcomes in mental health services.

Highlights

Nov 3 · India.com
COVID-19: With Proper Safety Measure, Air Travel Can Be Much Safer Than Eating At A Restaurant, Says Study - India.com
Apr 11 · Varsity Online
Wolfson spends £700000 on accommodation refurbishment - Varsity Online
Justin Yang
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Location

Cambridge, England, United Kingdom