Beck LaBash
I'm currently an undergrad at Northeastern, where I compete on the road cycling and nordic skiing teams. My research focuses on building machine-learning-accelerated computational tools to understand and design physical systems.
I'm currently an undergrad at Northeastern, where I compete on the road cycling and nordic skiing teams. My research focuses on building machine-learning-accelerated computational tools to understand and design physical systems.
Developed Generative Flow Networks to sample diverse, high-performing hyperparameter configurations for machine learning models.
lslpy is a library that enables contracts, property-based randomized testing, and verification via symbolic execution in Python, inspired by LSL.
Fine-tuned a Dual-stream Spatio-temporal Transformer to learn dense representations of running form from monocular video. Can identify potential injury-causing form issues using simple vector classification.
YouTube channel where I record me or my friends doing cool stuff outside.
