Milo Lin

Milo Lin serves as Associate Professor in the Lyda Hill Department of Bioinformatics at the University of Texas Southwestern Medical Center since 2024, previously holding an Assistant Professor position from 2021. He concurrently maintains membership in the Cecil H. and Ida Green Center for Systems Biology since 2015 and holds the prestigious Cecil H. and Ida M. Green Endowed Scholar in Biomedical Computational Science.

His academic foundation includes dual physics degrees from Caltech: a B.S. (2006) and Ph.D. (2012), where Nobel laureate Ahmed Zewail supervised his thesis on protein folding principles. This was followed by a Miller Independent Research Fellowship at UC Berkeley (2012-2015) under David Chandler's mentorship.

Dr. Lin's research integrates computational physics with biomedical challenges, focusing on biomolecular computation limits, protein folding dynamics, and drug interaction networks. His work employs advanced molecular dynamics simulations, information theory frameworks, and machine learning to decode complex biological systems, bridging theoretical physics with therapeutic applications in cancer and antibiotic resistance.

Analysis of recent publications reveals three dominant trajectories: (1) thermodynamic constraints in molecular computation, (2) allosteric networks in protein families, and (3) predictive modeling of drug synergies in cancer cell lines. These threads converge on understanding biological systems through physical first principles.

Key recognitions include:

• Cecil H. and Ida M. Green Endowed Scholar in Biomedical Computational Science
• Miller Independent Research Fellowship

As head of the Lin Lab, Dr. Lin directs computational research in biomedical systems. His endowed scholar position indicates substantial institutional funding support, while his dual departmental affiliations facilitate cross-disciplinary collaboration. Though student mentoring details aren't specified, his lab structure implies graduate trainee supervision within UTSW's biomedical sciences programs.