Miranda L. Lynch

Miranda L. Lynch, PhD, serves as a Research Assistant Professor in the Department of Structural Biology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, where she bridges computational mathematics and structural biology to advance protein analysis methodologies.

Education:

• PhD in Statistics, University of Rochester
• MS in Interdisciplinary Mathematics and Biology, University of Colorado at Denver
• Post-doctoral Research Fellow, Harvard T.H. Chan School of Public Health

Dr. Lynch specializes in computational structural biology with focus on protein dynamics, macromolecular crystallization, and image processing. Her work develops mathematical models for protein conformational changes, nanocrystal detection algorithms, and structural analysis tools targeting vision-related crystallins, metalloproteins, and viral pathogens. She integrates computational chemistry with experimental structural methods to solve complex biological problems.

Analysis of her 2022-2024 publications reveals dominant themes in computational virology (HIV drug resistance, coronavirus binding dynamics), high-throughput crystallization screening, and cancer biology (Ewing sarcoma, B-Raf mutations). Her research consistently applies mathematical modeling and machine learning to structural problems, demonstrating interdisciplinary collaboration across biophysics, oncology, and infectious disease research.

Professional Memberships:

• American Crystallographic Association
• American Mathematical Society
• Biophysical Society
• Society for Mathematical Biology
• SIAM: Society for Industrial and Applied Mathematics

Dr. Lynch's career includes significant contributions to the National High-Throughput Crystallization Center at Hauptman-Woodward Medical Research Institute, where she advanced structural genomics through automated crystallization screening. Her current work continues this legacy through method development for MicroED and protein crystallography, maintaining strong institutional ties to structural biology infrastructure initiatives.