Pei Wang, PhD
img_Pei Wang
PROFESSOR | Genetics and Genomic Sciences
High dimensional inference & integrative genomics
I am interested in developing statistical and computational methods to address scientific questions based on data from high throughput biology/genetics experiments. The ultimate goal is to enhance our understanding of cell activities and disease initiation/progression to a system level by integrating information from diverse biological sources (genetics/genomics, proteomics, and phenotypes). Towards this goal, eff orts have been made to properly model each individual type of data and to effectively characterize interactions among different biology molecules. These eff orts all borrow strength from and contribute to the developments of high dimensional inference, a challenging yet thriving field in modern statistics. For more details about Dr. Wang’s research, visit http://research.mssm.edu/wanglab/

BS, Peking University

PhD, Stanford University

Publications

Selected Publications

RNA and phosphoprotein profiles of TP53- and PTEN-knockouts in MCF10A at baseline and responding to DNA damage. Chen Wei Lin, Regine M. Schoenherr, Uliana J. Voytovich, Richard G. Ivey, Jacob J. Kennedy, Jeffrey R. Whiteaker, Pei Wang, Amanda G. Paulovich. Scientific data

Multi-scale signaling and tumor evolution in high-grade gliomas. Jingxian Liu, Song Cao, Kathleen J. Imbach, Marina A. Gritsenko, Tung Shing M. Lih, Jennifer E. Kyle, Tomer M. Yaron-Barir, Zev A. Binder, Yize Li, Ilya Strunilin, Yi Ting Wang, Chia Feng Tsai, Weiping Ma, Lijun Chen, Natalie M. Clark, Andrew Shinkle, Nataly Naser Al Deen, Wagma Caravan, Andrew Houston, Faria Anjum Simin, Matthew A. Wyczalkowski, Liang Bo Wang, Erik Storrs, Siqi Chen, Ritvik Illindala, Yuping D. Li, Reyka G. Jayasinghe, Dmitry Rykunov, Sandra L. Cottingham, Rosalie K. Chu, Karl K. Weitz, Ronald J. Moore, Tyler Sagendorf, Vladislav A. Petyuk, Michael Nestor, Lisa M. Bramer, Kelly G. Stratton, Athena A. Schepmoes, Sneha P. Couvillion, Josie Eder, Young Mo Kim, Yuqian Gao, Thomas L. Fillmore, Rui Zhao, Matthew E. Monroe, Austin N. Southard-Smith, Yang E. Li, Rita Jui-Hsien Lu, Jared L. Johnson, Pei Wang. Cancer Cell

Comprehensive proteogenomic characterization of rare kidney tumors. Ginny Xiaohe Li, Lijun Chen, Yi Hsiao, Rahul Mannan, Yuping Zhang, Jie Luo, Francesca Petralia, Hanbyul Cho, Noshad Hosseini, Felipe da Veiga Leprevost, Anna Calinawan, Yize Li, Shankara Anand, Aniket Dagar, Yifat Geffen, Chandan Kumar-Sinha, Seema Chugh, Anne Le, Sean Ponce, Shenghao Guo, Cissy Zhang, Michael Schnaubelt, Nataly Naser Al Deen, Feng Chen, Wagma Caravan, Andrew Houston, Alex Hopkins, Chelsea J. Newton, Xiaoming Wang, Daniel A. Polasky, Sarah Haynes, Fengchao Yu, Xiaojun Jing, Siqi Chen, Ana I. Robles, Mehdi Mesri, Mathangi Thiagarajan, Eunkyung An, Gad A. Getz, W. Marston Linehan, Galen Hostetter, Scott D. Jewell, Daniel W. Chan, Pei Wang, Gilbert S. Omenn, Rohit Mehra, Christopher J. Ricketts, Avi Ma'ayan, Boris Reva, Eric E. Schadt. Cell Reports Medicine

View All Publications

Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device, biotechnology companies, and other outside entities to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their outside financial relationships.

Below are financial relationships with industry reported by Dr. Wang during 2023 and/or 2024. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.

Consulting or Other Professional Services Examples include, but are not limited to, committee participation, data safety monitoring board (DSMB) membership

  • The National Institutes of Health’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program

Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website. Patients may wish to ask their physician about the activities they perform for companies.