Welcome

Hey there! I’m Blake, a computational research scientist with a penchant for tea. I have a background in computational physical chemistry with additional postdoctoral experience in cancer systems biology and nano-bioengineering. My expertise includes molecular simulation and encompasses molecular dynamics, Monte Carlo, and free energy simulation methods. In addition to my molecular simulation skills, I have experience with differential equation-based reaction-diffusion and reaction network models of chemical and biological systems, such as cellular signaling processes; my skillset in this domain also includes parameter estimation using stochastic optimization and Bayesian inference methods, as well as model selection, information theoretics, and dynamical model analysis. I’m also proficient with Linux/UNIX systems, Bash scripting, and Python programming (with a background in C++), and I have extensive experience utilizing high-performance computing environments.

Want learn more? Check out the About Me section for a deeper dive into my academic and professional journey.

Interested in my skills and experience - let’s connect! I am currently exploring new career opportunities that could leverage my experience in research and skills in scientific computing, and I’d be happy to discuss how I can contribute to your team. See the Contact page for ways to get in touch.

Most Recent PhD

LearnMore

Recent Work

Academic Publications/Preprints

  1. Journal Article (2024) Oscar O. Ortega, Mustafa Ozen, Blake A. Wilson, James C. Pino, Michael W. Irvin, Geena V. Ildefonso, Shawn P. Garbett, and Carlos F. Lopez, Signal execution modes emerge in biochemical reaction networks calibrated to experimental data, iScience, In Press. https://doi.org/10.1016/j.isci.2024.109989
  2. Journal Article (2024) Chen Xie, Blake A. Wilson, and Zhenpeng Qin, Regulating nanoscale directional heat transfer with Janus nanopartilces, Nanoscale Adv. https://doi.org/10.1039/D3NA00781B
  3. Journal Article: (2024) Hejian Xiong*, Blake A. Wilson*, Xiaoqian Ge*, Xiaofei Gao, Qi Cai, Xueqi Xu, Robert Bachoo, and Zhenpeng Qin, Glioblastoma Margin as a Diffusion Barrier Revealed by Photoactivation of Plasmonic Nanovesicles, Nano Lett. 24 (5), 1570-1578. (*=co-first authors) https://doi.org/10.1021/acs.nanolett.3c04101
  4. Perspective: (2023) Hejian Xiong, Blake A. Wilson, Paul A. Slesinger, Zhenpeng Qin, Optical uncaging and release for understanding neuropeptide transmission in the brain, ACS Chem. Neurosci., 14, 4, 516-523. (Special Issue on ‘Monitoring Molecules in Neuroscience 2023’) https://doi.org/10.1021/acschemneuro.2c00684
  5. Journal Article: (2023) Xiaoqing Li, Qi Cai, Blake A. Wilson, Hanwen Fan, Harsh Dave, Monica Giannotta, Robert Bachoo, and Zhenpeng Qin, Calcium-Mediated Modulation of Blood-Brain Barrier Permeability by Laser Stimulation of Endothelial-Targeted Nanoparticles, Nanoscale, 15, 3387-3397. https://doi.org/10.1039/D2NR05062E

Visit PUBLICATIONS to view a full list of publications.

Latest Blog Posts

(10/30/2024) Radioligand Therapy (RLT) Part 3 - Modeling how clearance, binding, and uptake affect tumor targeting and off-target emissions using a semi-mechanistic PK/PD approach | Exploring Precision Cancer Therapies series

(10/17/2024) Radioligand Therapy (RLT) Part 2 - Modeling how radionuclide half-life affects tumor targeting and off-target emissions using a semi-mechanistic PK/PD approach | Exploring Precision Cancer Therapies series

(09/22/2024) Radioligand Therapy (RLT) Part 1 - An Overview | Exploring Precision Cancer Therapies series

Software Releases