Eugene Vinitsky is an Assistant Professor in the Department of Civil Engineering at New York University, with affiliations in the Computer Science Center and Data Science. He obtained his PhD in control from the University of California, Berkeley. His research focuses on understanding how complex, human-like behavior can emerge from the unsupervised interactions of groups of learning agents, with applications primarily in robotics and transportation. Vinitsky is particularly interested in questions regarding the application of reinforcement learning to build self-driving vehicles that are both affordable and safe. He is also exploring how to repurpose algorithms designed for superhuman game-solving to create capable, human-like agents, as well as how to ensure that reinforcement learning agents are compatible with human behaviors. His work includes developing new data-driven simulators and deploying controllers based on these simulators in real-world systems. He has gained experience from prestigious institutions such as Apple, Tesla, DeepMind, and Facebook AI Research and has been a recipient of the NSF fellowship.