I am Jianle Sun (孙健乐), currently a first-year PhD student in Logic, Computation, and Methodology at Carnegie Mellon University. Before this, I obtained my M.S. (research-based) and B.S. degree from the Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University. I am working on the intersection of statistics, machine learning, and computational biology (like genetics, genomics, and epidemiology).

Reseach interests

• Causal inference and causal structure learning
• Statistical machine learning
• Statistical genetics and genomics: GWAS, eQTL, Mendelian randomization, single-cell omics, etc.

For my Master degree, I worked on the methodology of statistical genetics and genomics (GWAS, post-GWAS, eQTL, TWAS, single-cell genomics, etc.), and its application to human complex traits, e.g. understanding the cell-specific epigenomic and transcriptomic functional effects of genome variants through the integration of GWAS and (single-cell) molecular QTLs (Colocalization, Mendelian randomization, TWAS). I have also collaborated on analyzing cohort studies in epedemiology, and participated in intern research on foundation models for genomic analysis.

You can find the list of my publications and read the papers here.

I have a keen interest in many aspects of nature, social science, and humanities. I organized and participated in several seminars on philosophy and the history of science. I also have over a year of experience studying classical languages such as Latin and Sanskrit.