Current research is focused on improving model performance through the use of additional data modalities.
Education
Ph.D. student in robotics and artificial intelligence.
Background
Research interests lie at the intersection of robotics and artificial intelligence, with a focus on computer vision and robotics. His work explores using additional modalities like hyperspectral, polar, or LiDAR data as scaffolding during training to help models learn more robust and generalizable representations.
Miscellany
Has broad interests beyond just computer science and technology, including creative projects.