Personal Projects/ Coursework

Cofounder - Neurotech at NC State

As cofounder of Neurotech at NC State, I have helped recruit over 25 curious and amazing students with majors ranging from electrical engineering to business to collaborate with us on projects. I've also led grant writing efforts resulting in over $4,000 of free hardware being donated to our club. Another thing I've helped with is idea drafting for projects we are working on, supporting members and my other two cofounders in developing some very cool ideas. Laslty, I've handled the adminstrative side of things by making us a bank account, student org page, and setting up collaborations with other organizations.

Stay tuned for a link to the club's website!

Schizophrenia EEG Classification

This project was my introduction into the interaction of ML and neuroscience. Inspired by Talha Anwar's series on applying machine learning to EEG data, I learned how to make EEG into tabular, usable data and process signals in python. Beyond the videos, explored the use of power spectral density as a powerful feature in the classification task. This project helped me refine my data science skills and opened my mind to the possibilities of using Python for neuroscience. Check out my Github for the code!

On the right is a picture of me with my first ever EEG headset, gifted to me by a mentor. Tinkering with it taught me a great deal about the challenges of working with EEG data, the importance of signal processing, and the crazy amount of setup needed for a quality recording.

ECE 505 - Neural Interface Engineering

Fall 2025

This class covered biophysics, considerations about stimulation/ recording electrode design, and a deep dive into existing applications (pacemakers, retinal implants, DBS, etc.) . Main takeaway: Material scientists are unbelievably underappreciated.

ST 422 - Mathematical Statistics ll

Fall 2025

This class primarily covered estimators and how to evaluate their quality combined an in depth revist of fundamental statistical tools such as confidence intervals and hypothesis testing.
Main Takeaway: A new perspective on inference and how to think about the quality of guesses.

ECD 310 - Caldwell Fellows Seminar

Fall 2024

This class covered a wide array of topics with a focus on servant leadership and developing a personal definition of leadership.
Main takeaway: The importance of understanding who you are serving and why you are serving them before actually taking action.

BIO 488 - Neurobiology

Fall 2023

This class covered the ionic basis of the action potential, synaptic plasticity, various motor pathways/ neural networks, and the neural basis for several disorders.
Main takeaway: The brain is such a fascinating and complex system.

ECE 492 - Physical AI with Brain-Inspired Electronics

Spring 2026

CSC 491 - Neural Networks

Spring 2026

ST 434 - Applied Time Series

Fall 2026