Summary
Tim Anderson is a research scientist and software engineer with 9 years of experience building AI/ML systems to address high-risk trust and safety problems at Meta, where he leads cross-functional efforts on regulatory, legal, and user safety risks. He has a deep academic foundation from Stanford (PhD, MS) in electrical engineering and computational mathematics and previously researched deep learning and optimization for unconventional energy extraction. At Meta he has deployed LLM-based systems to augment human review of complex threat actors and developed models to detect scams, child safety issues, and influence operations. Tim blends rigorous research instincts with production-grade engineering, having interned on hardware/software co-design and federated learning at Facebook and Intel. Outside work he brings a playful curiosity—he mentions an affinity for rubber ducks—hinting at a hands-on, meticulous approach to debugging and systems design.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Stanford University