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Hang Zhou is an Assistant Professor of Psychiatry and Biomedical Informatics at Yale School of Medicine. He has a broad background in computational biology and psychiatric genetics, with rich experience in genomic data analysis and inferences. His main research interest is identifying novel genetic risks and exploring the biological etiology of alcohol use disorder, substance use disorders, and their relationship with comorbidities, utilizing large-scale human genetic data including SNP arrays and whole-exome sequencing. He has led significant projects, notably contributing to the Million Veteran Program (MVP) and conducting large multi-ancestry genome-wide association studies (GWAS) on alcohol consumption and opioid use disorder. Zhou has published extensively in high-impact journals, delivering critical insights into the genetic basis of substance-related disorders. His lab focuses on developing analytical pipelines for whole-exome sequencing samples aimed at identifying novel variants associated with these disorders, enhancing causal variant identification, and improving disease prediction through innovative polygenic risk score frameworks. His educational background includes a Bachelor of Science in Bioinformatics from Shanghai Jiao Tong University, a PhD in Computational Biology from the Chinese Academy of Sciences, and postdoctoral training at Yale.
Yale School of Medicine • New Haven, CT, US
Assistant Professor in the Departments of Psychiatry and Biomedical Informatics, focusing on genomic data analysis.
Yale School of Medicine • New Haven, CT, US
Conducted research in psychiatric genetics and led projects involving large-scale genomic data.
GRE is optional for PhD applicants. TOEFL speaking scores below 26 or IELTS speaking below 7.5 may require summer English training.