Jeffrey S. Morris, PhD

In addition to his professorial role, Dr. Morris serves as Director of the Division of Biostatistics. His research interests focus on developing quantitative methods to extract knowledge from biomedical big data, including work to relate complex biomedical object data—including functions, images and manifolds—to patient outcomes and characteristics using flexible, automated regression methods, and to integrate information across multiple types of multi-platform genomic, proteomic, imaging, and wearable device data to uncover biomedical insights contained in these complex data. He has done extensive applied work in cancer research, including constructing novel prognostic indices for hepatocellular carcinoma and helping develop and characterize molecular subtypes of colorectal cancer to discover new precision therapeutic strategies.

Dr. Morris is a Fellow of the Institute for Mathematical Statistics (IMS) and of the American Statistical Association (ASA), and has been recognized with various national honors, including the ASA’s Noether Young Scholar Award and Harvard University’s Myrto Leftkopoulou Distinguished Invited Lectureship. Dr. Morris was honored by M.D. Anderson with the 2018-19 Faculty Mentoring Award, given annually to one research faculty member in the institution. He has served as President of the East North American Region (ENAR) of the International Biometric Society and overall program chair for the Joint Statistical Meetings, the largest statistical meetings in the world. He also is currently the editor of Biology, Medicine and Genomics for the IMS journal The Annals of Applied Statistics and has served as an associate editor of several leading data science journals, including Biometrics and the Journal of the Royal Statistical Society, Series B.

Education

  • 2000 Ph.D. in Statistics, Texas A&M University
  • 1997 MS in Statistics, Texas A&M University
  • 1993 Mathematics Education, Messiah College

Selected Publications

  • Turner Daniel C, Edmiston Anna M, Zohner Ye Emma, Byrne Kevin J, Seigfreid William P, Girkin Christopher A, Morris Jeffrey S, Downs J Crawford: , Transient Intraocular Pressure Fluctuations: Source, Magnitude, Frequency, and Associated Mechanical Energy. Investigative ophthalmology & visual science 60(7): 2572-2582, Jun 2019.
  • Willauer Alexandra N, Liu Yusha, Pereira Allan A L, Lam Michael, Morris Jeffrey S, Raghav Kanwal P S, Morris Van K, Menter David, Broaddus Russell, Meric-Bernstam Funda, Hayes-Jordan Andrea, Huh Winston, Overman Michael J, Kopetz Scott, Loree Jonathan M: , Clinical and molecular characterization of early-onset colorectal cancer. Cancer 125(12): 2002-2010, Jun 2019.
  • Lee Wonyul, Miranda Michelle F, Rausch Philip, Baladandayuthapani Veerabhadran, Fazio Massimo, Downs J Crawford, Morris Jeffrey S: , Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data. Journal of the American Statistical Association 114(526): 495-513, 2019.
  • Wang Zeya, Cao Shaolong, Morris Jeffrey S, Ahn Jaeil, Liu Rongjie, Tyekucheva Svitlana, Gao Fan, Li Bo, Lu Wei, Tang Ximing, Wistuba Ignacio I, Bowden Michaela, Mucci Lorelei, Loda Massimo, Parmigiani Giovanni, Holmes Chris C, Wang Wenyi: , Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration. iScience 9: 451-460, Nov 2018.
  • Zhu Hongxiao, Versace Francesco, Cinciripini Paul M, Rausch Philip, Morris Jeffrey S:, Robust and Gaussian spatial functional regression models for analysis of event-related potentials. NeuroImage 181: 501-512, 11 2018.
  • Elhalawani Hesham, Lin Timothy A, Volpe Stefania, Mohamed Abdallah S R, White Aubrey L, Zafereo James, Wong Andrew J, Berends Joel E, AboHashem Shady, Williams Bowman, Aymard Jeremy M, Kanwar Aasheesh, Perni Subha, Rock Crosby D, Cooksey Luke, Campbell Shauna, Yang Pei, Nguyen Khahn, Ger Rachel B, Cardenas Carlos E, Fave Xenia J, Sansone Carlo, Piantadosi Gabriele, Marrone Stefano, Liu Rongjie, Huang Chao, Yu Kaixian, Li Tengfei, Yu Yang, Zhang Youyi, Zhu Hongtu, Morris Jeffrey S, Baladandayuthapani Veerabhadran, Shumway John W, Ghosh Alakonanda, Pöhlmann Andrei, Phoulady Hady A, Goyal Vibhas, Canahuate Guadalupe, Marai G Elisabeta, Vock David, Lai Stephen Y, Mackin Dennis S, Court Laurence E, Freymann John, Farahani Keyvan, Kaplathy-Cramer Jayashree, Fuller Clifton D: , Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Frontiers in oncology 8: 294, 2018.
  • Loree Jonathan M, Pereira Allan A L, Lam Michael, Willauer Alexandra N, Raghav Kanwal, Dasari Arvind, Morris Van K, Advani Shailesh, Menter David G, Eng Cathy, Shaw Kenna, Broaddus Russell, Routbort Mark J, Liu Yusha, Morris Jeffrey S, Luthra Rajyalakshmi, Meric-Bernstam Funda, Overman Michael J, Maru Dipen, Kopetz Scott: , Classifying Colorectal Cancer by Tumor Location Rather than Sidedness Highlights a Continuum in Mutation Profiles and Consensus Molecular Subtypes. Clinical cancer research : an official journal of the American Association for Cancer Research 24(5): 1062-1072, 03 2018.
  • Zhu Hongxiao, Caspers Philip, Morris Jeffrey S, Wu Xiaowei, Müller Rolf: , A Unified Analysis of Structured Sonar-terrain Data using Bayesian Functional Mixed Models. Technometrics : a journal of statistics for the physical, chemical, and engineering sciences 60(1): 112-123, 2018.
  • Yu Kaixian, Zhang Youyi, Yu Yang, Huang Chao, Liu Rongjie, Li Tengfei, Yang Liuqing, Morris Jeffrey S, Baladandayuthapani Veerabhadran, Zhu Hongtu: , Radiomic analysis in prediction of Human Papilloma Virus status. Clinical and translational radiation oncology 7: 49-54, Dec 2017.
  • Morris Jeffrey S, Baladandayuthapani Veerabhadran: , Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration. Statistical modelling 17(4-5): 338-357, Aug 2017.