Summary
Kipp Freud is a research scientist with eight years of experience blending academic rigor and applied ML, now building machine learning solutions for Meta’s advertising products. He completed a PhD in Interactive Artificial Intelligence at the University of Bristol, where his work ranged from SLAM on neural data to sim-to-real tactile manipulation and using LLMs for automated domain vectorization. Prior roles span industry and research—developing anomaly detection pipelines for streamed sensor data, NLP systems for medical chatbots, and wavelet tools for neurophysiology—showing a knack for translating research prototypes into production-ready tools. Comfortable across robotics, signal processing, and large-model workflows, he combines strong math/statistics foundations with practical engineering on AWS and lightweight scientific Python stacks. Based in Stony Stratford, he’s driven by “fun problems with AI solutions,” often finding creative cross-disciplinary angles, such as applying SLAM concepts to brain data and using U-nets as sim-to-real translators.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Interactive Artificial Intelligence, Doctor of Philosophy (PhD), Interactive Artificial Intelligence at University of Bristol