Xin completed his PhD in Computer Science in 2009 at University of Illinois at Urbana-Champaign, where he worked with Saurabh Sinha. Before his current position, Xin completed postdoc training with Dr. Hao Li at Department of Biochemistry of UCSF, and with Drs. Kathryn Roeder and Ziv Bar-Joseph at Lane Center for Computational Biology of Carnegie Mellon University. Xin is interested in statistical genetics and genomics, computational biology/bioinformatics and evolutionary genomics.

Shengtong (韩圣同) obtained his Ph.D. degree in Statistics in 2012 from the Department of Statistics, the Chinese University of Hong Kong. After that, Shengtong did postdoc research work at Department of Epidemiology and Biostatistics at the University of South Carolina, Columbia, then moved to Division of Epidemiology & Biostatistics at University of Memphis. He joined the lab in April, 2015. Shengtong's research interests include Bayesian networks, semi-parametric methods and their application in statistical genetics/genomics.

Yuwen (刘毓文) obtained his Ph.D. in Developmental Biology (Specialized in Genomics and Systems Biology) from University of Chicago in 2014. Under the supervision of Dr. Kevin White, he has trainings in both experimental and computational genomics. He joined the lab in June, 2015. Yuwen’s research interests include developing statistical and computational methods to integrate various types of biological dataset to identify disease-causing DNA variants and pathways.

Kevin (Kaixuan罗凯旋) Luo completed his PhD in Computational Biology and Bioinformatics in 2016 from Duke University, where he was supervised by Dr. Alex Hartemink, and collaborated with Greg Crawford, David MacAlpine, and Li Ma. His PhD research focused on modeling the dynamics of genome-wide transcription factor and nucleosome occupancy. Kevin joined the lab in October, 2016. He is jointly supervised by Dr. Matthew Stephens, and in close collaboration with Dr. Chuan He. Kevin is interested in developing statistical and machine learning methods to better understand the mechanisms by which genetic variation impacts gene regulation.

Jean Morrison recieved her Ph.D. in 2016 in Biostatistics from the University of Washington advised by Noah Simon. Jean joined the lab in Oct, 2016 and is co-supervised by Dr. Matthew Stephens. She is particularly excited about understanding the genetic architecture of gene regulation, integrating multiple genetic studies to learn about the biological relationships between traits, and association testing with spatially structured data types.

Nick obtained his BS in Biochemistry and Molecular Biology from UC Davis in 2011, and worked at Harvard Medical School as a Research Assistant afterwards. Nick joined the Genetics, Genomics and Systems Biology (GGSB) program at U of Chicago as a PhD student in 2014. His research interest is the application of machine learning and statistical methods to large scale genotypic and phenotypic datasets to better understand the mechanisms of human disesase.

Yanyu obtained BSc in Chemical Biology from Tsinghua University in China in 2015, and she completed MSc in Computational Biology from Carnegie Mellon University in 2016. She spent 2016 summer in the lab and returned to the lab as research assistant from 2017 Jan. Her research interest is to understand the disease mechanisms from multi-level NGS data with the use of machine learning techniques and statistical modeling.

Yubin Xie completed his BS in Biology from Zhejie University in China and MS in Biomedical Sciences from University of Edinburgh in 2016. He has a background in both bioinformatics and systems biology. Yubin joined the lab in October, 2016. He is interested in developing computational tools to discover key genes, non-coding RNA and epigenetic marks that are associated with human diseases.