I am a research fellow with the Department of Radiation Oncology at Mayo Clinic, currently working on a 4D X-ray imaging improvement project for image-guided proton therapy (IGPT). I develop clinically deployable software for motion-managed radiotherapy delivery, and conduct research on reliable tumor-tracking with computer vision / deep learning methods.
Previously, I studied nanoconfined polymer electrolytes for safer rechargeable lithium-ion batteries at Brookhaven National Laboratory (BNL), using synchrotron X-ray scattering experiments carried out at the Advanced Photon Source and the National Synchrotron Light Source II.
I enjoy solving scientific/quantitative problems with programming. In particular, I am fluent in Python, the SciPy stack and other associated scientific modules (Numpy, SciPy, Matplotlib, Lmfit, Mayavi, Scikit-image etc.). I like readable, elegant Numpy vectorization solutions, but am also comfortable with extending Python via Cython, Numba or pybind11/C++ for numerical performance boost. For larger coding projects, I use C#/.NET (LINQ is marvelous) and strive for robustness and maintainability through good software engineering principles.
CAMPEP Accredited Certificate Program in Medical Physics, 2018 - Present
Ph.D. in Mechanical Engineering, 2015
University of Colorado at Boulder
B.E. in Materials Science and Engineering, 2010