Since I was a kid I've been obsessed with how things work, whether that's a shoulder joint or a circuit board. At some point it stopped being a hobby and became the way I see everything. When I hit a problem, I see the system it lives in: what feeds it, what it's connected to, what breaks downstream.
The useful part is that systems repeat. A nervous system and an embedded device are solving the same problem: sense the world, move a signal, decide, act, and correct when the result is off. I learned that loop in my own body as a climber before I had words for it, then found it again in neuroscience, and again in sensors and motor control. That's why I study cognitive science and electrical engineering at the same time, and why I'm headed toward intelligent biomedical hardware, like prosthetics and assistive robotics, where the nervous system and the machine have to work as one system.
Education
Columbia University
Barnard College
BA Cognitive Science (Embodied Cognition), Minor in CS. Expected Dec 2027. Dean's List, Spring 2026.
CU Boulder
Online, concurrent · planned completion May 2028
Graduate coursework toward the MS in Electrical & Computer Engineering, Embedded Sensors and Motors pathway.
Looking For
- A summer 2027 robotics or health-tech internship, ideally close to the hardware
- Research conversations about climbing biomechanics, movement data, or attention
- Climbers and researchers who want to help label video in the Dynalytix pilot
Coursework
Robotics Studio, Advanced Neuroscience Lab, Machine Intelligence, Natural Language Processing, Biological Image Computing (graduate level), UI Design, Data Structures
Graduate: Sensors and Sensor Circuit Design, Supervised Learning
