Victor Dorobantu is a PhD student at Caltech with 11 years of engineering and research experience at the intersection of machine learning, control, and distributed systems. He focuses on coupling active learning with nonlinear control to provide guaranteed behavior for autonomous systems, bringing hands-on expertise in simulation, real-time sensing, and controller design. His background spans industry internships and research roles—from building Java backends and large-scale mission-planning frameworks to developing LIDAR ConvNets and fault-tolerant robotic subsystems at Cornell. Comfortable moving between theory and practice, he has a track record of producing open research-grade software and physics-based simulators that accelerate experimental validation. Based in Los Angeles, he leverages strong systems thinking and cross-disciplinary experience to push practical AI/robotics innovations toward deployment.
10 years of coding experience
2 years of employment as a software developer
Eden Prairie High School
California Institute of Technology
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Cornell University
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