Sihao Huang's Homepage

This is Sihao's personal page. Please feel free to have a look at the profiles and the GitHub repos.

View My GitHub Profile

About

My name is Sihao Huang. I’m currently a Postdoc at New York Genome Center working with Prof. Chenxu Zhu. I got my B.S. degrees in Biology and Mathematics at Peking University in Beijing in 2018. I got my PhD degree at University of Chicago in 2024. My PhD thesis mentor is Prof. Tao Pan. My research focus is Bioinformatics. During my PhD research, I developed machine-learning-based computational pipelines NanoPsu and NanoSPA to identify multiple types of mRNA modifications simultaneously from nanopore direct RNA sequencing data and explored their roles in immune response and translation regulation. I wrote open source python packages to make the approaches available to general users. I also did industry internships in developing machine learning models for cancer diagnosis from cell free DNA and multi-omics data integration pipelines for biomarker discovery. I enjoy collaborating with researchers with different academic backgrounds like Computer Sciences, Organic Chemistry, Cell Biology, Immunology and Microbiology.

I liked to cycle along the shore of Lake Michigan when I was in Chicago. I like building LEGO models. I like cooking. I like traveling. I’ve visited 14/50 states in US and hope to visit more in the future.

Welcome to my homepage! Feel free to navigate through all the pages. I have tried to ensure that the content is presented in a simple and easy-to-read manner.

News

  1. I just got the Best Thesis Award in UChicago BMB 2024-2025 academic year!

Contact

Email: sihaohuang1024@gmail.com
LinkedIn: Sihao Huang
Google Scholar: Sihao Huang
ResearchGate: Sihao Huang
ORCID: Sihao Huang
Scopus: Sihao Huang
Twitter: @SihaoHuang1024
Facebook: Sihao Huang

External links

Zhu Lab (NYGC) website
Pan Lab (UChicago) website
PhD rogram student page
PhD program Spotlights
Meren Lab (collaborator and committee member) website
Working buddy for programmer (maybe out of data)