Summary
Lance Lu is a machine learning engineer with 11 years of experience specializing in deep learning, computer vision, NLP, agents, and LLMs, currently optimizing recommendation systems at TikTok to drive LIVE revenue growth. Trained at UC Berkeley, MIT, and Harvard in data science, computational biology, and biomedical informatics, he bridges clinical research and production ML, with hands-on work in PyTorch, TensorFlow, Python, R, SQL, and Java. His research at MIT focused on mechanical interpretability and bias mitigation for LLMs and ViTs, giving him a rare combination of model introspection expertise and fairness-driven engineering. Lance has applied ML across industry and academia—from Baidu internships to healthcare research at Mass General Brigham—demonstrating an ability to translate experimental insights into scalable systems. Based in California, he brings both product-impact focus and a research-first mindset to cross-functional teams.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Data Science, Molecular & Cell Biology, Bachelor of Arts - BA, Data Science, Molecular & Cell Biology at University of California, Berkeley
Cross-Registered, Computational Biology & Clinical Data Science, Cross-Registered, Computational Biology & Clinical Data Science at Massachusetts Institute of Technology
Master of Science - MS, Biomedical Informatics, Master of Science - MS, Biomedical Informatics at Harvard University
English, Chinese