Yaping (Joy) Liu

I am a recent Columbia Engineering graduate with an M.S. in Operations Research, where I developed expertise in machine learning, data analysis, and optimization algorithms. I also hold a B.S. in Mathematics from UC Santa Barbara. As a Data Analytics Intern at Frederick National Laboratory for Cancer Research (FNLCR), I analyzed, curated, and modeled large-scale chemical datasets using the ATOM Model Pipeline (AMPL) and Python. In previous roles, I’ve worked on projects involving natural language processing, image classification, and momentum acceleration techniques. I’m passionate about leveraging data and AI to tackle real-world challenges and drive scientific discovery. I thrive in collaborative, innovative environments and value learning from diverse perspectives.