- Experimenting with electromagnetic force as a tabletop measurement for small masses (~1mg)- Targeting uncertainties on the scale of tens of nanograms- Instrumentation programming using Labview on Fluke and HP calibrators and digital multimeters- Working with Richard Steiner and Gordon Shaw

Teacher Assistant and grader for STAT 4300 (probability)

- Worked in the Kumar Lab with Professor Vijay Kumar, Professor Pratik Chaudhari, Fernando Caldera, and Siming He- Research in machine learning for biomass classification from LiDAR data- Coauthor for paper published in ICRA Spring 2024- Personal project involves development and testing of the classification algorithm on the UPenn campus- Applications in under canopy autonomous drone precision farming

TA for CIS 2620 (Automata, Computability, and Complexity). Held office hours and graded assignments and exams for 150 students.

- Vision software team lead- OpenCV and Tesseract for image classification- Letter recognition with rotation invariance

- Plan and execute high altitude balloon launches- Created 4D graphic representation to visualize launch data- Arduino code for data sensors and RockBLOCK- Drone videography of launches for recruitment

Tutoring middle and high school students in all range of subjects with a focus on math.

Tutor for the Weingarten Center in algorithms, discreet math, and computability.

Worked under two graduate students to conduct research on the effect of bimetallic nanoparticles in anion exchange membrane fuel cells. Work to be present in poster presentation at Spring 2022 ACS conference.