Rate My Professor Matthew Biesecker

Biesecker has authored several peer-reviewed publications. Key works include "Optimization of Virotherapy for Cancer" in Bulletin of Mathematical Biology (2010, co-authors J.H. Kimn, H. Lu, D. Dingli, Ž. Bajzer); "Kinetic Monte Carlo Modeling on Organic Solar Cells: Domain Size, Donor-Acceptor Ratio and Thickness" in Nano Energy (2017, co-authors U. Neupane, B. Bahrami, M.F. Baroughi, Q. Qiao); "Monte Carlo Simulation of Förster Resonance Energy Transfer in 3D Nanoscale Organic Bulk Heterojunction Morphologies" in The Journal of Physical Chemistry C (2013, co-authors I. Maqsood et al.); "Modeling of Trap Assisted Interfacial Charge Transfer in Dye Sensitized Solar Cells" in Applied Physics Letters (2013, co-authors J. Nepal et al.); and "Kinetic Monte Carlo Modeling of Dark and Illuminated Current-Voltage Characteristics of Bulk Heterojunction Solar Cells" in Applied Physics Letters (2013, co-authors P.M. Baidya et al.). He also published "The Inverse Problem of the Calculus of Variations for Systems of Second-Order Partial Differential Equations in the Plane" as an arXiv preprint in 2009. Additional contributions include posters on uncertainty of hydrologic events under South Dakota's changing conditions (2012) and a presentation on coupled systems of nonlinear reaction-diffusion equations at the SDSU Data Science Symposium (2018). Biesecker collaborates with researchers in electrical engineering and chemistry on solar cell projects, including NSF EPSCoR and USDA AFRI initiatives.

As a mentor, he served as first advisor for master's theses: "Numerical Simulation of the Acoustical Propagation of Thunder" by Jonathan S. Rood (2012) and "Rigid Equilibriums of a Rotating String" by Teddrick Schaffer (2019). He advised the 2025 Schultz-Werth Senior Paper Award winner in Data Science and Mathematics on "Leveraging Large Language Models for...".