Research

Oakland University, Professor Sarah Beetham | Fall 2024 – Present

Specializing in Physics-Informed Neural Networks (PINNs) and Kernel-based Artificial Neural Networks (KANN) to solve mechanical engineering problems.
Developing a PINN in Python to model a pendulum forcing problem, integrating physical constraints and differential equations for realistic simulations.
Aiming to improve computational efficiency and accuracy in predicting dynamic mechanical systems, with applications in robotics, vibration analysis, and control systems.

Yale University, Professor Simon Mochrie | Summer 2022

Awarded $8,500 REU fellowship to conduct research on Single Molecule Optical Tweezers Measurements of nucleosomes.
Utilized fluorescence microscopy and optical tweezers to track real-time protein movement along nucleosomes, studying their behavior under varying forces (binding, sliding, detachment).
Studied Brownian diffusion to quantify protein motion, providing insights into protein-DNA interactions and gene regulation.

Yale University, Professor Corey O'Hern | Summer 2021

Awarded $8,500 NSF fellowship for research on the cell wall structure of flowering plants.
Simulated mesophyll tissue formation using MATLAB and analyzed data with Fiji software.
Created computational models of biological systems with deformable particle models, including coarse-grained simulations of crawling cells.
Investigated mesophyll tissue development, demonstrating how airspace forms through cell wall growth and remodeling.

Yale University, Professor Steve Konenzy | 2022 – 2024

Focused on advancing Perovskite solar cells, investigating copper thiocyanate (CuScn) as a hole transport material.
Utilized a cryostat to explore the effects of humidity on cell performance and stability.
Applied spin coating techniques to fabricate CuScn samples for testing under varying humidity levels.
Developed Python scripts for data analysis, interpreting results related to material efficiency and degradation.

Yale University, Sweeney Lab, Professor Allison Sweeney | 2024

Researched hyperuniformity in black spruce forests and giant clams, examining spatial properties contributing to resilience and efficiency.
Analyzed images using Origin software to quantify patterns of hyperuniformity.

Yale University, Professor Amit Dayte | Spring 2021

Operated a gas pycnometer and prepared samples using various sanding techniques.
Conducted nano-indentation studies and generated stress-strain curves in Origin for material strength analysis.