I am a Ph.D. candidate in Biophysics and Quantitative Biology at the University of Illinois at Urbana-Champaign (UIUC), focusing on Whole-Cell Modeling (WCM). My current research involves developing comprehensive computational models of the metabolic networks in baker's yeast (Saccharomyces cerevisiae), leveraging GPU parallel programming techniques. I am passionate about systems biology, computational modeling, and exploring nonlinear dynamics through interdisciplinary collaborations.
- 🌱 I'm currently working on whole-cell metabolic modeling of S. cerevisiae.
- 👯 I'm looking to collaborate on projects related to WCM, computational biophysics, or nonlinear dynamic systems.
- 📫 How to reach me: [email protected]
- ⚡ Fun fact: I enjoy visualizing biological structures through creative tools like Minecraft or Blender!
- Ph.D. in Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign (UIUC), 2023 – Present
- Bachelor of Science in Biophysics (Dual Degree: Management), Peking University, 2022
- Whole-cell computational modeling
- Systems biology and metabolic network analysis
- GPU programming and computational optimizations
- AI-assisted virtual cell modeling
- Wu T, Thornburg ZR, Tan K, et al. "Visualizing Cell Structures with Minecraft." The Biophysicist. February 03, 2025. doi: 10.35459/tbp.2024.000275
- Wu T, et al. "Spatially-resolved stochastic simulation of the galactose regulatory network in S. cerevisiae via RDME-ODE hybrid method." Journal of Physical Chemistry B (In preparation)
- Programming Languages: Python, C++, CUDA, MATLAB
- Tools and Software: AlphaFold2/3, Lattice Microbes, VMD, PyMOL, IMOD, ImageJ, Blender, Minecraft
- Methodologies: Whole-cell modeling, stochastic simulations, multi-scale modeling, bioinformatics
Thank you for visiting my profile! Feel free to reach out if you have questions or are interested in collaborating.