Jun Li, Ph.D.

Professor of Human GeneticsProfessor & Associate Chair for Research of Computational Medicine and BioinformaticsFaculty, Center for Statistical Genetics; Comprehensive Cancer CenterMember, Depression Center; Michigan Diabetes Research Center; Michigan Metabolomics & Obesity CenterCo-Director, Michigan Center for Single-Cell Genomic Data Analytics
5940A Buhl1241 E. Catherine St. SPC 5618Ann Arbor, MI 48109-5618junzli@med.umich.edu734-615-5754

News: 2019

Jun Li Lab, 2019 Spring

2019.12, Dr. Li and colleagues (Keller, Wilson, Nagrath, Colacino, Rao) were awarded the Single-Cell Spatial Analysis Programfrom the Biosciences Initiative

with three new faculty positions and four staff hires, for over $12M (incl. $10M from the Initiative and the Provost).


2019-12 End of year party at Jun's house

We celebrate the year with an end of year party at Jun's house.

link to the event page

2019-12 Dr. Li was elected as a Fellow of American Association for the Advancement of Science

The scientists and engineers were chosen as AAAS fellows by their peers for their “scientifically or socially distinguished efforts to advance science or its applications.”

To celebrate, we throw a surprise party for Jun.

link to the AAAS report

link to the UM report

link to the Wechat Article

2019-12 Jun Li Lab 2019 Fall

2019-03 Bilge's team win the first place at Hacks with Friends 2019

Hacks with Friends is a two-day event brings together IT professionals across campus to innovate and quickly solve technology problems. Along the way, they make connections that last.

This year, Bilge's team's idea "ContaMiNot" win the first place at the event. ContaMiNot is a sustainability app to help you determine which bin your trash should go into. It uses object recognition & machine learning to identify a piece of trash, then tells the user which waste bin to place it in.

Here is a link to thier website.

2019-02 Yanling's Farewell Dinner

Yanling was a visiting scholar in Jun's lab. He worked on the dynamics of gene expression in skeletal muscle during exercise. In his own words, "It's refreshing to combine computational techniques and what I know from wet lab. I’ve been enjoying science every minute here."