Biography
Jeremy Yang is a Research Associate Professor in the Translational Informatics Division of the Department of Internal Medicine at the UNM School of Medicine, with research interests spanning cheminformatics, bioinformatics, clinical informatics, computational drug discovery, knowledge representation and discovery, machine learning, and artificial intelligence, AI. He holds a B. Eng. in electrical engineering from McGill University, an MA in education from UC Berkeley, and a PhD in Informatics and Data Science from Indiana University. Prior to joining UNM in 2007, he was a key contributor at two highly successful startup companies, both developing software for early stage drug discovery. His current research and recent publications include (1) KG2ML, a method for applying ML to biomedical knowledge graphs, (2) Badapple, bioassay data associative promiscuity prediction learning engine, (3) TIGA, target-illumination GWAS analytics, and (4) TICTAC, target-illumination clinical trials analytics with cheminformatics. Yang was born in England, and has lived in Canada, New York, California, and Louisiana, before moving to New Mexico and raising two sons, both recent graduates, one civil engineer and one computer scientist.
Areas of Specialty
Cheminformatics
Bioinformatics
Biomedical Data Science
Software Engineering
Machine Learning
Knowledge Graphs
Education
PhD, Informatics & Data Science, March 2022, Indiana University, Bloomington, Indiana MA, Education, June 1986, UC Berkeley, Berkeley, California
BEng, Electrical Engineering, June 1982, McGill University, Montreal, Quebec, Canada
Key Publications
Journal Article
RInger, John, A Lambert, Christophe, Gerard Bradfute, Steven, Bologa, Cristian, Yang, Jeremy, Joseph 2025 Badapple 2.0: An Empirical Predictor of Compound Promiscuity, Updated, Modernized, and Enhanced for Explainability Journal of Chemical Information and Modeling 1 University Of New Mexico MSC09 5025
Journal Article
Abok, Jeremiah, I Edwards, Jeremy, S Yang, Jeremy, Joseph 2025 TICTAC: target illumination clinical trial analytics with cheminformatics Frontiers Bioinformatics
Journal Article
Yang, Jeremy, Joseph Gessner, C, R Duerksen, J, L Biber, D, Binder, J, L Ozturk, M, Foote, B, McEntire, R, Stirling, K, Ding, Y, Wild, D, J 2022 Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination. BMC bioinformatics, vol. 23, Issue 1, 37
Journal Article
Yang, Jeremy, Joseph Grissa, D, Lambert, Christophe, Gerard Bologa, Cristian, Mathias, S, L Waller, A, Wild, D, J Jensen, L, J Oprea - WR appt ended 6/30/2024 , Tudor, 2021 TIGA: Target illumination GWAS analytics. Bioinformatics (Oxford, England)
Gender
Male
Courses Taught
Independent Study in Biomedical Data Science.
Project templates available in bioinformatics, cheminformatics, systems biology and other areas. Offered as BIOM505 (Biomedical Sciences Special Topics: "Ind Study Biomed Data Sci"). For more information: ISBDS Course Home Page (https://datascience.unm.edu/isbdscourse/).