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Undergraduate Research Student

Connecticut College Summer Research Internship 2024

Conducted research and development of 3 research projects in the field of Artifical Intellgence. Projects include: Simulating the evolution of sight using a genetic algorithm, developing a Deep Convolutional Neural Network for dynamic difficulty adjustment, and theoretical research into genetic algorithms.

• Python, Java, Pytorch, Ray, SQLite3, Git, Linux

Student Network Administrator

Connecticut College Information Services

Worked on issues related to network connectivity, phone system management, and asset tracking.

• Python, Java, Pytorch, Ray, SQLite3, Git, Linux

Undergraduate Research Student

Connecticut College Summer Research Internship 2023

Developed a research environment to simulate various types of speciation using a genetic algorithm. This enviornment has improved results over the previous simulation and these results are under review for publication.

• Python, Java, Pytorch, Ray, SQLite3, Git, Linux

Youth Volunteer

The Redwoods, A Community Of Seniors

Youth volunteer assisting dining staff with service and clean up during meals.

Bachelor of Arts

Connecticut College

Computer Science and Physics

• Computational Intellgence, Data Structures, Robotics, Thermodynamics and Statistical Mechanics, Modern Physics, Ordinary Differential Equations, Artifical Intellgence

Sophomore Computer Science Award

Department of Computer Science, Connecticut College

Awarded for excellence in research, academics and service.

Dean’s High Honors

Connecticut College

Awarded for the Spring 2023 semester for having a GPA above 3.88

Presidential Scholar

Dean of the College, Connecticut College

Selected as a freshman for academic achievement in the first semester to participate in a series of talks and events hosted by Connecticut College faculty.

Dean’s High Honors

Connecticut College

Awarded for the Fall 2022 semester for having a GPA above 3.88

Using Secondary Inherited Characteristics During Reproductive Choice To Replicate Allopatric Speciation

Pending Publication

The goal of this research is to create an environment where we can use evolutionary computation (EC) with separate chromosomes in independent agents to replicate allopatric speciation, the process in which a species diverges into two distinct, reproductively separate species based on geographic isolation.

DingoAALL

Modification of the Dingo Quadruped for research purposes in the Autonomous Agent Learning Lab.

• Robotics
• ROS

XPilot DCNN

Replicate the behavior of Xpilot agents using a DCNN and the behavioral cloning process.

• Neural Networks
• Behavioral Cloning
• Python
• Pytorch

The Grid: speciation simulation

Grid based enviornment for simulating speciation via agents controlled by genetic information, propagated via reproduction.

• Java
• Polymorphism
• Object Oriented Programming