I'm a Computer Science graduate student at Columbia University specializing in Machine Learning. My journey began with a Microbiology degree from UCLA and biomedical research on Parkinson's disease and ALS at Cedars-Sinai.
While analyzing thousands of microscopy images and complex datasets, I discovered my passion for AI and how machine learning could automate analysis and accelerate discoveries that help patients.
Today, I focus on using technology to create meaningful impact—particularly developing machine learning solutions to bridge brain signals and robotics, helping individuals with disabilities through intelligent prosthetics and assistive devices.