Chang Su is an Assistant Professor of Biostatistics and Bioinformatics with eight years of experience developing statistical methods for high-dimensional biomedical data, particularly in genetics and neuroimaging. Trained at Yale (PhD) with international exposure at UC Berkeley and Sun Yat-Sen, he blends rigorous theoretical work with applied projects—from mobility prediction for BMW to privacy-focused research engineering at Meta. His research focuses on scalable methods for complex, high-dimensional inference and pleiotropy mapping, reflecting a knack for translating statistical innovation into domain-relevant tools. Based in New Haven but appointed at Emory, he brings an academic track record and cross-industry experience that bridge methodological development and practical biomedical applications.
8 years of coding experience
6 years of employment as a software developer
Exchange Undergraduate Student, Statistics, Exchange Undergraduate Student, Statistics at University of California, Berkeley
High School Diploma, High School Diploma at The Affiliated High School of South China Normal University
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Yale University
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Sun Yat-Sen University
R package for CS-CORE, a statistical method for cell-type-specific co-expression inference from single cell RNA-sequencing data
Contributions:3 releases, 31 commits, 2 PRs in 1 month
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Chang Su - Assistant Professor at Emory University