cv
Basics
| Name | Tien M. Phan |
| Label | Biophysicist |
| tienminhphan@tamu.edu | |
| Url | https://tienmphan.github.io |
| Summary | Computational biophysicist and chemist with 4+ years of postdoctoral research experience, specializing in molecular modeling, biomolecular simulations, and force field development. |
Work
-
2021.10 - Present Postdoctoral Researcher
Artie McFerrin Department of Chemical Engineering, Texas A&M University
- Biomolecular simulations of proteins and nucleic acids
- Force field development and optimization
- Molecular docking and virtual screening
- Protein structure prediction and design
Education
-
2015.08 - 2021.08 Kansas, USA
PhD
Kansas State University, Manhattan, Kansas, USA
Theoretical Biophysics
- Thesis: Multi-scale modeling in molecular self-assembly
Awards
- 2024.04.01
ASBMB Postdoctoral Researcher Award
American Society for Biochemistry and Molecular Biology
Awarded for outstanding postdoctoral research in the field of biochemistry and molecular biology.
Certificates
| Supervised Machine Learning: Regression and Classification | ||
| Deeplearning.AI | 2024-12 |
| Computer Science: Programming with a Purpose | ||
| Princeton University | 2018-08 |
Languages
| Vietnamese | |
| Native speaker |
| English | |
| Professional proficiency |
Interests
| Biomolecular Modeling & Simulations | |
| Molecular dynamics, Monte Carlo simulations | |
| Enhanced sampling techniques | |
| Multiscale modeling | |
| Protein conformational dynamics | |
| Protein-protein, Protein-nucleic acid interactions |
| Force Field Development & Optimization | |
| Classical potential refinement (IDPs vs folded proteins) | |
| Protein-water interaction optimization | |
| Validation via NMR observables |
| Protein Structure Prediction & Design | |
| Oligomer prediction | |
| Sequence design for interaction tuning | |
| AlphaFold, Boltz2, ProteinMPNN, RFDiffusion, MODELLER |
| Molecular Docking & Virtual Screening | |
| Virtual screening, docking (Boltz2, AutoDock Vina) | |
| Peptide/protein docking (HADDOCK, ClusPro) | |
| Virtual screening pipelines | |
| MMGBSA, FEP, binding free energy estimation |
| Programming & Data Science | |
| Python (NumPy, Pandas, MDAnalysis, MDTraj, scikit-learn, PyTorch) | |
| Bash scripting, C/C++ (simulation customization), Linux environments | |
| Data processing, visualization, automated analysis pipelines |
References
| Prof. Jeremy D. Schmit | |
| Prof. Jeetain Mittal | |