Hi, I'm
Caleb Galdston_
Math-CS · Data Science · ML
UCSD Math-CS grad interested in machine learning, optimization, and leveraging AI to build useful tools to address societal issues.
About

I'm a recent UCSD graduate with a B.S. in Mathematics–Computer Science and a minor in Data Science, now based in Boston. I'm looking for roles where I can work on hard problems — I'm drawn to the space where math, data, and software intersect.
My projects span a wide range: applying deep learning to climate model emulation, building recommendation systems, training RL agents in gym environments, and generating symbolic music with transformers. I'm most comfortable in Python and PyTorch, and I care about reproducible, well-documented experiments.
Outside of work, I spend my time powerlifting, running, reading, and obsessing over baseball.
Projects
Deep Learning For Climate Model Emulation
VolleyballReinforcementLearning
Final Project Template for COGS 118B
Unconditional Symbolic Music Generation
Vermont Business Recommender System
Goodreads Reccomendation
MLB Pitch Sequencing
GitHub Activity
Contact
Open to interesting problems and new opportunities. Reach out anytime.