Daniel Montemayor, Ph.D.
I have unique expertise in developing mathematical models of biological systems through my experience in the field of theoretical chemistry and data science. My work aims to understand the pathogenic mechanisms of diabetic kidney disease through statistical analytics, predictive models of disease progression, and ultimately through simulation of bioprocesses at the molecular level. I accomplish this by drawing from a broad multi-disciplinary foundation in molecular dynamics, quantum theory, systems biology, and machine learning.
- 2009 - PhD - Chemistry - Boston University
- 2003 - BA - Chemistry - Boston University
- 2020 - Postdoctoral Fellow - Data Science, Machine Learning, and Bioinformatics - UTHSA
- 2017 - Postdoctoral Fellow - Molecular Dynamics and Machine Learning Applications to Biological Systems - City University of New York, Queens College
- 2013 - Postdoctoral Fellow - Modeling and Theory of Energy Transfer in Biological Nano-structures - University College Dublin
2009 Graduate School of Arts and Sciences Excellence in Teaching Award, Boston University
2011 High Performance Computing Resource Award, Irish Centre for High-End Computing
2019 National Center for Faculty Development and Diversity Writing Challenge Award
Research & Grants
Precision medicine by omics-based machine learning. Understanding diabetic kidney disease pathogenesis and modeling the disease progression at the individual level is the central focus of this research. Small molecule biomarkers are implicated with kidney disease progression in diabetic patients.
Fall 2019 – Spring 2020 School of Medicine Research Discussion Seminar, UTHSCSA, Co-chair. Biweekly seminar series in biomedical research from the greater San Antonio area. Typically attended by approximately 30 UTHSCSA clinical and basic science researchers.
Kwan B, Fuhrer T, Zhang J, Darshi M, Van Espen B, Montemayor D, de Boer IH, Dobre M, Hsu CY, Kelly TN, Raj DS, Rao PS, Saraf SL, Scialla J, Waikar SS, Sharma K, Natarajan L. Metabolomic Markers of Kidney Function Decline in Patients With Diabetes: Evidence From the Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis. 2020 May 5;PubMed PMID: 32387023.
Montemayor D, Sharma K. mGWAS: next generation genetic prediction in kidney disease. Nat Rev Nephrol. 2020 May;16(5):255-256. PubMed PMID: 32231316; PubMed Central PMCID: PMC7261371.
Montemayor D, Rivera E, Jang SJ. Computational Modeling of Exciton-Bath Hamiltonians for Light Harvesting 2 and Light Harvesting 3 Complexes of Purple Photosynthetic Bacteria at Room Temperature. J Phys Chem B. 2018 Apr 12;122(14):3815-3825. PubMed PMID: 29533664.