Zhaohui “Steve” Qin

I have extensive experience in statistical modeling and computing with applications to statistical genetics and genomics. My recent research is focused on developing Bayesian model-based methods to analyze data generated from applications of next-generation sequencing technologies such as ChIP-seq, RNA-seq, Hi-C, WGBS, resequencing, and on developing software so that the methods can be easily adopted by the research community. I am also actively collaborating with biomedical scientists and clinicians on projects that utilize next-generation sequencing technologies to better understand genomics and epigenomics.

Steve QIn headshots

Teaching

  • BIOS 516: Introduction to Large- Scale Biomedical Data Analysis (Fall 2023) Sample Syllabus
  • BIOS 534 / CS 534: Machine Learning (Spring 2020, 2021, 2022, 2023, 2024) Sample Syllabus
  • BIOS 540: Introduction to Bioinformatics (Fall 2020) Sample Syllabus
  • BIOS 710: Probability Theory II (Fall 2016) Sample Syllabus
  • BIOS 731: Advanced Statistical Computing (Fall 2012, 2016, 2018, 2020, 2024)  Sample Syllabus
  • BIOS 770: Advanced Statistical Genetics: (Spring 2013, 2015, 2019)  Sample Syllabus
  • BIOS 738 Bayesian and Empirical Bayes Methods (Spring 2013, 2015, 2017, 2018, 2019, 2019) Sample Syllabus