Summary
Pieter-jan Kindermans is a Senior Staff Research Scientist at DeepMind with a decade of experience advancing machine learning from brain–computer interfaces to large-scale generative models. He co-led Phenaki, Google's text-to-video project, and was a key contributor to Veo 2, combining research depth with product-facing impact. His background includes AutoML work deployed in collaboration with Waymo, publications on neural network interpretability, and Marie Curie-funded postdoctoral research in efficient learning for neuroimaging and BCI. Trained at Ghent University (PhD) and a Kyoto MLSS alumnus, he brings a rare blend of unsupervised learning, graphical models, and deep learning expertise that spans both foundational research and real-world systemization.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Ghent University
Machine Learning Summer School (MLSS) Machine Learning, Machine Learning Summer School (MLSS) Machine Learning at Kyoto University
English, Dutch, German, French