Welcome!

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I am a senior stastician at J&J Innovative Medicine. I graduated with a Ph.D. in biostatistics from University of California, Los Angeles. I conduct research with my doctoral advisors Dr. Steve Horvath, Department of Human Genetics, School of Medicine and Dr. Gang Li, Department of Biostatistics. I co-first-authored a Science Magazine publication regarding large DNA methylation data classification, sparse modeling and revolutionary tree analyses. I first-authored a novel Poisson graphical model for analyzing large RNA-seq data and published the corresponding R package implemented in C++ on Github (caeseriousli/prBARgraph), and co-authored 20+ publications (Google Scholar list https://scholar.google.com/citations?user=pGrR31gAAAAJ&hl=en).

I enjoy working with high dimensional modeling, sparse modeling, machine learning algorithms (tree-based methods, deep learning, and other classfication learning), variable selection, and their applications to large genetics and health data. Programming languages: Python, R, some C++. I’m passionate about learning programming languages, new ML packages, and cool new techs on my own. And I love sharing, teching, and discussing what I learn with my peers (see my computing workshops link).

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Project Highlights

DNA methylation networks underlying mammalian traits https://www.science.org/doi/10.1126/science.abq5693

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Mammalian DNA Methylation Array https://doi.org/10.1038/s41467-022-28355-z

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Epigenetic Predictors of Mammalian Lifespans (Submitting)

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