I am a research fellow with the Department of Radiation Oncology at Mayo Clinic, Rochester, Minnesota. My current work focuses on improving motion management in our proton therapy practice with real-time fluoroscopic imaging. To this end, I develop in-house clinical software, 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, via 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 and familiar with its scientific eco-system (i.e. NumPy, SciPy, Matplotlib, LmFit, Mayavi, scikit-image etc.). I like readable, elegant NumPy vectorization solutions, but am also comfortable with extending Python via Numba or pybind11/C++ for numerical performance boosting. 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 Boulder
B.E. in Materials Science and Engineering, 2010