Rohit Lal is a Computer Scientist II at NASA IMPACT with eight years of experience building and scaling AI foundation models for scientific applications, grounded in a 4.0 MS in Robotics and Computer Vision from UC Riverside. His research blends practical computer vision and generative modeling—spanning source-free domain adaptation, occlusion-robust 3D human pose estimation, and a 100x speedup for diffusion-based motion priors—backed by publications at ICCV and WACV. He previously advanced unsupervised domain adaptation and adversarial vulnerability metrics at IISc Bangalore and has mentored and led research projects since his undergraduate days at VNIT. Comfortable at the intersection of research and engineering, Rohit also teaches Trustworthy AI topics and explores creative outlets like photography and video editing, which inform his attention to visual detail.
7 years of coding experience
2 years of employment as a software developer
Masters in Electrical Engineering, Robotics and Computer Vision specialization, 4.0/4.0, Masters in Electrical Engineering, Robotics and Computer Vision specialization, 4.0/4.0 at University of California, Riverside
Bachelor of Technology, Electronics and Communications Engineering, Bachelor of Technology, Electronics and Communications Engineering at Visvesvaraya National Institute of Technology
Contributions:17 commits, 4 pushes, 1 branch in 3 months
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