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

BS, Peking University

PhD, Stanford University


Selected Publications

MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer. Xiaoyu Song, Jiayi Ji, Joseph H. Rothstein, Stacey E. Alexeeff, Lori C. Sakoda, Adriana Sistig, Ninah Achacoso, Eric Jorgenson, Alice S. Whittemore, Robert J. Klein, Laurel A. Habel, Pei Wang, Weiva Sieh. Nature Communications

Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer. Shrabanti Chowdhury, Jacob J. Kennedy, Richard G. Ivey, Oscar D. Murillo, Noshad Hosseini, Xiaoyu Song, Francesca Petralia, Anna Calinawan, Sara R. Savage, Anna B. Berry, Boris Reva, Umut Ozbek, Azra Krek, Weiping Ma, Felipe da Veiga Leprevost, Jiayi Ji, Seungyeul Yoo, Chenwei Lin, Uliana J. Voytovich, Yajue Huang, Sun Hee Lee, Lindsay Bergan, Travis D. Lorentzen, Mehdi Mesri, Henry Rodriguez, Andrew N. Hoofnagle, Zachary T. Herbert, Alexey I. Nesvizhskii, Bing Zhang, Jeffrey R. Whiteaker, David Fenyo, Wilson McKerrow, Joshua Wang, Stephan C. Schürer, Vasileios Stathias, X. Steven Chen, Mary Helen Barcellos-Hoff, Timothy K. Starr, Boris J. Winterhoff, Andrew C. Nelson, Samuel C. Mok, Scott H. Kaufmann, Charles Drescher, Marcin Cieslik, Pei Wang, Michael J. Birrer, Amanda G. Paulovich. Cell

Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness. Yize Li, Tung Shing M. Lih, Saravana M. Dhanasekaran, Rahul Mannan, Lijun Chen, Marcin Cieslik, Yige Wu, Rita Jiu Hsien Lu, David J. Clark, Iga Kołodziejczak, Runyu Hong, Siqi Chen, Yanyan Zhao, Seema Chugh, Wagma Caravan, Nataly Naser Al Deen, Noshad Hosseini, Chelsea J. Newton, Karsten Krug, Yuanwei Xu, Kyung Cho Cho, Yingwei Hu, Yuping Zhang, Chandan Kumar-Sinha, Weiping Ma, Anna Calinawan, Matthew A. Wyczalkowski, Michael C. Wendl, Yuefan Wang, Shenghao Guo, Cissy Zhang, Anne Le, Aniket Dagar, Alex Hopkins, Hanbyul Cho, Felipe da Veiga Leprevost, Xiaojun Jing, Guo Ci Teo, Wenke Liu, Melissa A. Reimers, Russell Pachynski, Alexander J. Lazar, Arul M. Chinnaiyan, Brian A. Van Tine, Bing Zhang, Karin D. Rodland, Gad Getz, Pei Wang, Boris Reva, Francesca Petralia. Cancer Cell

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Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies 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 relationships with such companies.

Dr. Wang did not report having any of the following types of financial relationships with industry during 2022 and/or 2023: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.

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.