Madison-based software developer with a PhD in Quantum Computing. Over seven years of experience using large-scale computer networks to solve computationally intense problems. Excited about the intersection between classical and quantum computing. Passionate about making technical results accessible to a broad audience.
Leveraged large-scale computer networks to
all of which resulted in first-author publications. Simulated the valley physics of phosphorus donors in silicon and subband physics of semiconductor nanowires over the course of internships at Sandia National Laboratories and Microsoft Quantum.Led an initiative to design and implement a development pipeline to version-control, test, and deploy microservices used to query a database with tens of millions of patients' medical records. Refactored an open-source qubit modelling software package, resulting in better integration with modern distributed computing techniques. Used Machine Learning techniques to identify medications and comorbidities relevant to a variety of diseases, including COVID-19.
Communicated scientific results through multiple publications in scientific journals and presentations at academic conferences to a variety of audiences. Collaborated with a graphic design team to create a visualization of document transfer between healthcare organizations, which was displayed to customers at an international conference. As a Teaching Assistant, ranked as “Excellent” by the TA Review Committee based on the evaluations of students.
Designed and developed software solutions to analyze tens of millions of patients' medical records. Collaborated closely with DevOps team to implement modern deployment techniques.
Simulated and predicted the performance of semiconducting-based quantum computers by using 3-D modeling software such as COMSOL, leveraging high-throughput parallel-computing techniques, and implementing ideas from compressed sensing.
Helped integrate Dask into the Microsoft's Qubit Modeling Tools, culminating in high-throughput simulations of nanowire devices.
Worked in a team developing Python software used to model semiconductor-based devices, focusing on the valley physics of phosphorus donors in silicon.
Thesis: Silicon-based quantum devices: materials, design and operation
GPA: 3.77