About Me

I was born in the American Midwest and raised in the beautiful Tri-Cities, Washington. Since then I've been working and studying in Seattle. My educational trajectory has had some twists and turns, but I've picked up many useful computational skills along the way.

Most of my coding knowledge was acquired through various research projects. As a junior in college, I worked on the KATRIN experiment through UW's CENPA, an experiment whose goal is to place a tighter bound on the neutrino's mass. My project involved validating an upgrade to KATRIN's muon veto, and I began to pick up some basic C++ using ROOT, a software library that CERN developed for processing particle physics data.

At the end of my junior year, I began working as a research assistant at the UWMC Department of Radiation Oncology with some of the medical physicists. I had a wonderful experience and learned a lot, teaching myself MATLAB for a quality-assurance project, as well as Python for developing some Raystation scripts. I also contributed to a paper on a novel IMRT technique for low-income countries, recognized as one of Physics World's Top-Ten Breakthroughs of 2018. Many of the challenges I faced while working on these projects encouraged me to further develop my computational skills, leading me to pursue graduate studies in applied mathematics.

Over the summer of 2019, I did an internship at the Allen Institute for Brain Science where I worked on a data science project classifying axon and dendrite terminal morphology. I gained even more technical skills, working with various Python libraries (Numpy, Pandas, sklearn, skimage), running neural networks using PyTorch, and writing some C++/bash scripts in a Linux environment.

I've learned quite a lot these past few years and I am excited to see where my career will go next. I enjoy self-studying and picking up new skills as I encounter new problems. If your group is looking for computational support from a self-learner, check out my résumé and send me an email - I'd love to hear from you!