Science

Graduate Studies
Undergraduate Studies
Work Experiences

Awards and Fellowships

Presentations

Professional Service & Leadership

Science Communication and Outreach

LinkedIn

Graduate Studies

PhD Student, Materials Science and Engineering
Hersam Research Group
Northwestern University

Research Interests: 2D materials, materials chemistry, ink formulations, aerosol jet printing, scalable manufacturing, nanomaterials processing, structure-function relationships of printed materials, electronic devices, nanofabrication

Undergraduate Studies

B.S. Chemical Engineering & Materials Science and Engineering
U.C. Berkeley, 2016
Senior Thesis: “Cryogenic plasma etching of silicon dioxide”
PI: Dr. Deirdre Olynick
Nanofabrication Facility, Molecular Foundry, Lawrence Berkeley National Laboratory

Work Experiences

Consultant, Perkins-LLP
2018, 2016
What I did: I performed literature searches for prior art to patents related to semiconductor processing equipment and methods.
Impact: Prior art documents I found were used in litigating patent infringement claims.
What I learned: How to communicate with patent lawyers to understand the crucial claims of a patent. I am now more adept in tailoring my searches to look for abstract ideas that are not well-described by keywords.

Corporate Research Analytical Lab R&D Intern, 3M
2015
What I did: I worked with Dr. Myles Brostorm in the CRAL x-ray lab to develop new image processing tools for x-ray microtomography reconstructions. Most of my time was spent designing an algorithm in MATLAB to apply filters to reconstructed images to remove sharp ring artifacts. I developed test cases for the filters to demonstrate how different variables would affect the output product.
Impact: My coworkers were unfamiliar with MATLAB, so I focused on making my work accessible to them. I wrote a prompt-heavy MATLAB script to walk the user through the various image processing options and select the most appropriate filter. I documented my work heavily through SOPs on basic MATLAB usage, the ring artifact algorithm, and other image processing methods developed for Aviso Fire. Finally, to ensure longevity of the project, I spent time training my coworkers to use MATLAB and operate the algorithm.
What I learned: The underlying technique of re-converting the slices to polar space and using a Debauchie wavelet filter was inspired by literature from the biomedical community. I worked with coding experts at CRAL to debug my code and learned more about MATLAB in the process. This essential experience with MATLAB has allowed me to be a better teacher to my peers and also develop MATLAB training workshops at Northwestern.