Summary
Alice Um is an undergraduate computer scientist at Cornell University specializing in CS with minors in Data Science, AI, and ECE, and brings a decade of hands-on experience across research, teaching, and product-focused ML engineering. She applies machine learning to real-world domains—from improving precision diagnostics in a biomedical lab to building YOLOv5-based computer vision for pollination monitoring—bridging research rigor with deployable systems. As a Cornell Data Science engineer and CS4620 teaching assistant, she mentors peers and moves projects from preprocessing to production, emphasizing model validation and clinical relevance. Outside code, she leads in student organizations—securing sponsorships for engineering teams and instructing climbers—demonstrating cross-functional leadership and user-focused design. Notably, her background in building physiological-signal models and a thermoelectric generator project reflects a persistent interest in hardware-aware, socially beneficial technology.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Cornell University
Korean, Japanese, Chinese, English