Alex Tsoi

Alex Tsoi is a Research Assistant Professor at the University of Michigan with a primary appointment in the Department of Dermatology and joint appointments in the Department of Computational Medicine and Bioinformatics and the Department of Biostatistics within the School of Public Health. His work bridges computational biology, genetics, and dermatology, focusing on complex skin disorders.

Dr. Tsoi's educational background includes:

• PhD in Biomedical Science (Bioinformatics) from the Medical University of South Carolina
• MS in Biomedical Science (Bioinformatics) from the Medical University of South Carolina
• BS in Biology with a minor in Mathematics from the College of Charleston

His research interests center on developing computational and statistical methods for analyzing high-throughput genomic and genetic data, with a focus on psoriasis and other cutaneous disorders. He employs systems biology approaches to understand disease pathology and genetic architecture, integrating data from multiple sources to enhance biological interpretation.

His recent publications (all from 2017) demonstrate a strong focus on psoriasis genomics, including large-scale meta-analyses that identified novel susceptibility regions, and the development of computational pipelines for transcriptome analysis. His work also extends to machine learning applications for predicting adverse drug reactions in dermatological treatments.

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During his career, Dr. Tsoi has been associated with the Center for Statistical Genetics at the University of Michigan, where he contributed to genetics and genomics projects for psoriasis.