Experience

Master of Science in Computer Science (current)

Bachelor of Engineering, concentration in Robotics (June 2020)

• Member of Tau Beta Pi

Bachelor of Arts in Computer Science modified with Engineering (June 2020)

• Thesis: Safe Navigation for Autonomous Sailboats under Uncertain Wind Conditions
  • High Honors
  • Advisor: Alberto Quattrini Li
• Member of Phi Beta Kappa

Software Engineering Intern, Fall 2020 - Summer 2021

• Developed software for IceNode, a vehicle that will travel under the Antarctic ice sheet to measure melt rates
• Designed and implemented vehicle firmware, including I2C and serial device drivers, data logging and telemetry
• Developed new tools for analyzing Mars 2020 flight data

Software Engineering Intern, Summer 2019

• Migrated an embedded Linux platform to Yocto
• Assisted with deployment and recovery of autonomous sailboats
• Debugged and fixed electrical and software issues on the boats

Software Engineering Intern, Spring 2018

• Worked as member of a software engineering team at a startup
• Developed a web backend for a machine learning based satellite imagery analysis platform

Undergraduate Researcher, Fall 2017

• Analyzed ground penetrating radar data to detect crevasses in ice sheets
• Applied a machine learning approach using MATLAB

Intern, Summer 2017

• Researched and implemented a deep learning approach for bronchoscopy depth reconstruction
• Best presentation award at the lab retreat
• Co-wrote a SPIE Medical Imaging conference paper based on my research: Deep learning-based scene reconstruction of bronchoscopy from pulmonary CT: Clinical validation and feasibility study using subjects with suspicious solitary pulmonary nodules

Engineering Student Intern, Summer 2015

• Evaluated the capabilities of MOOS-IvP, autonomous underwater vehicle control software, for mine detection operations