Research Team
Matthew Nemesure, MS
Matthew Nemesure, MS
PhD Candidate, Quantitative Biomedical Sciences, Geisel School of Medicine at Dartmouth
Matthew Nemesure is currently a Ph.D. candidate in the Quantitative Biomedical Sciences department at the Geisel School of Medicine. He has a Bachelor’s degree from Binghamton University in Integrative Neuroscience. Matthew’s primary interest is in applied statistics and machine learning. His previous work involved utilizing these data science techniques across a broad spectrum of research areas including cancer, neurodegenerative disorders and psychology. Currently his work and interests are focused on using cutting edge machine learning and AI technologies to address the complexities of “big-data” in the context of psychological disorders.
Additionally, through his coursework and prior job experience, Matthew has developed the mathematics and computer science skills necessary for complex data science work. He has experience in natural language processing, web-scraping, data visualization and building + maintaining a REST API through an internship at Oracle as well as coursework at Dartmouth.
In his spare time, Matthew Enjoys the occasional game of pick-up basketball or soccer and attending trivia with his friends. During the colder months, he can be found skiing on the weekends or endeavoring to cook something new in the kitchen.
Selected Publications
- Bobak CA, McDonnell L, Nemesure MD, Lin J, Hill JE. Assessment of Imputation methods for missing gene expression data in meta-analysis of distinct cohorts of tuberculosis patients. Pac Symp Biocomput. 2020;25:307-318. PMID: 31797606. View Source
- Luo D, Fraga-Lauhirat M, Millings J, Ho C, Villarreal EM, Fletchinger TC, Bonfiglio JV, Mata L, Nemesure MD, Bartels LE, Wang R, Rigas B, Mackenzie GG. Phospho-valproic acid (MDC-1112) suppresses glioblastoma growth in preclinical models through the inhibition of STAT3 phosphorylation. Carcinogenesis. 2019 Dec 31;40(12):1480-1491. doi: 10.1093/carcin/bgz069. PMID: 30994173. View Source
- Yang J, Zhang M, Ahn H, Zhang Q, Jin TB, Li I, Nemesure M, Joshi N, Jiang H, Miller JM, Ogden RT, Petkova E, Milak MS, Sublette ME, Sullivan GM, Trivedi MH, Weissman M, McGrath PJ, Fava M, Kurian BT, Pizzagalli DA, Cooper CM, McInnis M, Oquendo MA, Mann JJ, Parsey RV, DeLorenzo C. Development and evaluation of a multimodal marker of major depressive disorder. Hum Brain Mapp. 2018 Nov;39(11):4420-4439. doi: 10.1002/hbm.24282. PMID: 30113112; PMCID: PMC6815672. View Source
- Mallangada NA, Vargas JM, Thomas S, DiGiovanni MG, Vaeth BM, Nemesure MD, Wang R, LaComb JF, Williams JL, Golub LM, Johnson F, Mackenzie GG. A novel tricarbonylmethane agent (CMC2.24) reduces human pancreatic tumor growth in mice by targeting Ras. Mol Carcinog. 2018 Sep;57(9):1130-1143. doi: 10.1002/mc.22830. PMCID: PMC6461215. View Source