Research Assistant, Guillermo Sapiro, Duke University, January 2021 – May 2022
- Explored backwards compatibility in machine learning models with the goal of maintaining case-by-case performance between model generations.
- Investigated simulated generations of machine learning models to understand why updated models decrease performance on certain data points.
Research Assistant, Cynthia Rudin, Duke University, January 2021 - February 2022
- Competed in data science competition for citation context classification at NAACL 2021 conference.
- Rotated as team strategist, leader, and member while developing NLP tools for context classification for both multiclass and binary classifcation tasks.
- Wrote paper and presented at NAACL 2021 in the Scholarly Document Processing workshop.
- Investigated genomics datasets from UNC Chapel Hill to find multiomic predictors for HIV in cell ines.
- Publication of results in review.
Research Fellow, David R. Smith, Duke University, May 2019 – August 2021
- Designed and ran experiments investigating radio frequency imaging for human presence detection. Funded by the Department of Energy ARPA-E program to reduce residential power consumption by 30%.
- Investigated machine learning approaches to data analysis to classify human behaviors such as breathing, walking, and sitting.
- Designed and measured experimental configurations to simulate human behavior using an advanced metamaterial antenna.
- Published paper as first author in the IEEE Access journal.
Teaching Assistant, Duke University First Year Design (EGR 101) Fall 2019 - Spring 2022
- Led small project teams of freshman engineers to teach students the fundamentals of design, problem solving, collaboration, and project management as they create real world solutions for local clients.
- Provided technical knowledge, managed conflicts, and mentored students throughout the project cycle.
- Taught three years of freshmen, directly working with 20 students total and managing two classes of 50 each.
- Interviewed TA candidates and provided hiring feedback to professors.
- Created projects with real world impact, such as: a fever-simulating mannequin for nurses, a mirror to socialize NICU babies, and a decibel detector for workshop ear safety.
Software Development Engineer Intern, Amazon Alexa, Summer 2021
- Improved ambient Alexa experience by introducing new use case for customers owning a single device with a screen.
- Facilitated users to send visual commands to one device without a screen and have the response come from another device with a screen.
- Wrote software to impact over 14 million customers worldwide.