Maheen Rashid is a research scientist and PhD candidate at UC Davis specializing in computer vision and machine learning, with nine years of experience bridging academic research and product-focused R&D. Her work spans automated pain detection in horses using deep convolutional networks, unsupervised semantic object discovery from large-scale unlabeled imagery, and multimodal object proposal methods for detection. She has industry experience applying ML to safety-critical healthcare hardware at Mint Solutions (MedEye) and holds a Robotics MS from Carnegie Mellon and a CS BS from LUMS, supported by a Fulbright scholarship. Based in Stockholm, she combines rigorous 3D-aware scene understanding and single-view reconstruction expertise with practical deployment sensibilities. Outside research she collects stories, explores global cuisines, and brings an interdisciplinary curiosity to team science that helps translate novel models into real-world systems.
9 years of coding experience
Bachelor of Science (B.Sc.), Computer Science. Minor: Social Sciences, Bachelor of Science (B.Sc.), Computer Science. Minor: Social Sciences at Lahore University of Management Sciences
4 A' Levels. 10 O' Levels., 4 A' Levels. 10 O' Levels. at Lahore Grammar School
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Davis
Master's Degree, Robotics, Master's Degree, Robotics at Carnegie Mellon University
Contributions:66 commits, 62 pushes, 6 branches in 5 months
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