Tony Tu is a PhD candidate in Electrical and Computer Engineering at Georgia Tech and an AI Applied Scientist Intern at Zillow, bringing eight years of experience across research and industry in Berkeley and Atlanta. He specializes in generative AI for protein engineering and drug design under Prof. Yunan Luo while also working on LLM post-training and agentic AI at Zillow, bridging cutting-edge ML research with production-focused AI systems. A UC Berkeley EECS alumnus with a background in NLP and extensive undergraduate research across Berkeley labs, he has practical experience in embedded systems, autonomous driving, and fairness in advertising. Tony combines deep academic rigor with hands-on tooling—he’s built autograders and teaching materials for large CS cohorts and contributed to UAV sensing and monocular depth projects—showing a knack for turning complex research into usable software.
Master's degree, Computer Science (Natural Language Processing), Master's degree, Computer Science (Natural Language Processing) at Georgia Institute of Technology
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