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Bachelors in Computer Science

Harvard University

• Traditional computer science coursework, data science, optimization, reinforcement learning, geometric machine learning, signals and communications, modern and classical control theory, computer vision, and high-performance computing

ML Research Engineering Intern

The Kempner Institute at Harvard University

R&D in support of a NeuroAI project focused on created a modular, functional model of the mouse brain with PyTorch

• Generated several new Gymnasium environments, running training scripts to compare models in different environments and keeping track of performance with Weights & Biases integration
• Added the vision module of the brain, considering tradeoffs between complexity and generalizability

Robotics and Automation Rapid Prototyping Intern

Los Alamos National Laboratory

R&D in support of an automated robotic system for the assembly and dissasembly of the DPP-3 shipping container for radioactive material

• Led the computer vision aspect of the project, fine-tuing pre-trained deep neural networks to recognize bolts and report their location in the camera frame
• Presentation and publication at Waste Management Symposium 2025 - awarded Superior Paper rating

Student Mentoring and Research Training Intern

The University of Tennessee Oak Ridge Innovation Institute

Worked in the autonomous systems lab modeling UAV flight paths and running optimization algorithms in MATLAB to determine optimal routes

• Compared paths generated using GPOPS-II optimal control software with two models of quadrotor dynamics to understand how the setup of the path-generation problem impacts solution quality and computational difficulty

Co-Founder

Medentum Innovations, Inc.

Co-Founder of a startup focused on using ML to improve health outcomes

• Co-inventor of a patented device, gaining experience computer-aided drafting, coding, and prototyping
• Served as a liason to a PI for an NIH-backed data sceince project, interviewed potential employees, and actively review and edit grant proposals
• Support staff data scientists in COPD flare-up prediction, classification of ENT disorders, and multimodal generalist biomedical AI through literature review, exploratory data analysis, and TensorFlow model implementations

Director of Data Journalism

The Harvard Crimson

Elected position in which I led a small team of data scientists helping all sectors of The Crimson generate content that requires data acquisition and analysis

• Co-authored a data-intensive article about college admissions which was a finalist for the 2024 Society of Professional Journalists Mark of Excellence Awards in the New England region

Upward Bound Teaching Assistant

Southwest Virginia Community College

Assistant for a summer program focused on giving FGLI students tools for collegiate success

• Aided Upward Bound staff in teaching topics in robotics, world geography, and student success
• Gave a presentation encouraging underserved Appalachian students to pursue higher education and attend prestigious institutions, along with college application advice
• Supervised approximately 50 students on educational trips to Pigeon Forge, Atlanta, and New York City

A Mobile, Autonomous Bolting and Unbolting System for DOE Shipping Containers

Waste Management Symposium

Introduces an autonomous robotic system for the assembly and disassembly of DOE shipping containers. Design and implementation details are included.

Diagnostic device for remote consultations and telemedicine

A diagnostic device & platform for telemedicine utilizing low-cost sensors & AI