// PERSON
Nicklas Hansen
ROLE RESEARCHERAT UC SAN DIEGOMENTIONS 1LAST SEEN JUNE 18, 2026
// BIO
Nicklas Hansen is a PhD candidate in computer science at UC San Diego, advised by Xiaolong Wang and Hao Su. His research focuses on world models, reinforcement learning, and robot learning, and he is best known for developing TD-MPC and TD-MPC2, scalable world models for continuous control. He has held research internships at NVIDIA Research and Meta AI (FAIR) and is a recipient of the NVIDIA Graduate Research Fellowship.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·JUNE 18, 2026
“Co-author with strong background in reinforcement learning and robot learning; likely contributor to the RL actor design for search acceleration”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.