The Li lab studies the genetic and functional basis of complex human diseases using genomic approaches. Currently our NIH-supported projects include the analyses of spontaneous mutation patterns in the human genome (NIGMS R01), multi-omic studies of a genetic rat model of addiction behavior (NIDA U01) and a rat model of metabolic health (NIDDK R01). We are part of the MoTrPAC Consortium (U24 NIH Common Funds) which seeks to discover the molecular transducers of the health benefit of physical exercise. Dr. Li co-directs the Michigan Center for Single-Cell Genomic Data Analytics, which aims to build a strong computational infrastructure to support the rigorous use of single-cell genomic data. An overarching theme in the Li lab is the responsible use of complex data in transparent, reproducible, and community extendable research. We are constantly recruiting talented individuals with background in biostatistics and biomedical data science.

His personal website can be accessed through this link.

As a data scientist, Dr. Ozel’s ultimate goal in research is to devise and apply analytical and computational approaches to discover the genetics behind complex traits and rare diseases. Her background is in Chemical Engineering and Food Science and Engineering (Middle East Technical University) with MS and PhD in Chemical Engineering (University of Michigan), and postdoctoral training in Human Genetics (University of Michigan) supervised by Dr. Jun Li and Dr. David Ginsburg. In 2013, she became a Research Specialist - Intermediate, and got promoted to Senior level in 2016. She has led and contributed to many collaborations to reveal such information from various levels of genetic and omics data (i.e. genotyping; whole exome/genome, RNA and targeted sequencing) from cohorts and multi-generational families. A few of her projects are: genetics of venous thromboembolism; linkage analysis and fine mapping of rare diseases such as atypical progeria, ataxia, thrombocytopenia, hemophilia B, combined pituitary hormone deficiency, nanophthalmos,T-cell prolymphocytic leukemia; genetics and heritability of complex traits focusing on blood, clotting and eye; and rat genome assembly and improvement efforts using short- and long-range sequencing (IROC Consortium). She has experience in linux-based systems, high performance clusters, command-line tools and various programming languages (python, R, java). Her most recent publication is: "Extended regions of suspected mis-assembly in the rat reference genome".

Her ResearchGate, LinkedIn and Google Scholar pages can be accessed through the links.

Qianyi Ma received her PhD in Human Nutrition and Graduate Minor in Statistics from Pennsylvania State University in 2012. From 2013 to 2016, she was a joint postdoc supervised by Dr. Jun Li and Dr. David Ginsburg in Department of Human Genetics at the University of Michigan. Her PhD and postdoc research has given her versatile experiences in nutritional sciences, statistics, genetics and genomic-scale high-throughput sequencing analysis. Her current research is focused on single-cell RNA-seq analysis of spermatogenesis, co-mentored by Dr. Jun Li and Dr. Sue Hammoud. Her most recent publication is “A Comprehensive Roadmap of Murine Spermatogenesis Defined by Single-Cell RNA-Seq”.

Her LinkedIn and Google Scholar pages can be accessed through the links.

John Lloyd is a computational biologist in the Departments of Human Genetics and Internal Medicine. His research interests include cancer genomics, precision medicine, and the evolution and ecology of tumors. His research focuses on developing robust statistical methods to identify molecular biomarkers for sensitivity to small molecule drugs so that patients may receive the most effective initial therapies. He received his Ph.D. from Michigan State University, with research focused on genome evolution and identification of functional intergenic transcripts and non-coding RNAs.

His Google Scholar, LinkedIn, and GitHub pages can be accessed through the links.

Xianing received his bachelor’s degree in Biological Sciences from Wuhan University in China and had a short graduate study in bioinformatics and computational biology at National Institute of Biological Sciences, Beijing. He is interested in applying and developing computational or statistical methods to address essential biological questions. Currently he is working on single cell RNA-seq data simulation, algorithms benchmarking and devising new measurements to characterize scRNA-seq data. He is co-mentored by Prof. Jun Li and Prof. Sue Hammoud at the Department of Human Genetics.

Andy Beck is a PhD student in the Department of Biostatistics. His current research involves using statistical and computational tools to better characterize the germline mutation rate at a finer scale across the genome using large GWAS datasets. He is co-advised by Professors Jun Li and Sebastian Zoellner.

April graduated from Spring Arbor University with her undergraduate degree in Mathematics, with a minor in biology. She received her initial exposure to the world of computational biology in public health at the University of Minnesota’s Summer Institute in Biostatistics. She also completed a summer REU in bioinformatics at Auburn University, under the guidance of Dr. Rita Graze. She is a first year PhD student in the bioinformatics program, and is curious about understanding the interplay of lifestyles factors, genetics, and the development of neurological diseases. She is currently hoping to explore the methods and analysis of single-cell RNA-seq data, as well as explore machine learning.

He goes by Han, a first-year Master student in the Department of Human Genetics. Han received his Bachelor of Arts in Accounting & Information System and Bachelor of Science in Genomics & Molecular Genetics from Michigan State University. Han is still exploring the field of computational biology. His current research projects include power analysis of experiments based on sequencing data, refining the rat reference genome, stistical modeling of cancer incidence rate, and scRNA-seq tools benchmarking. He is also working with Maxwell on the maintenance of this website.