I joined the Department of Mechanical and Aerospace Engineering at The Ohio State University in 2019 as an assistant professor. I received my Ph.D. in Mechanical Engineering from the Georgia Institute of Technology in 2016. Prior to joining OSU, I worked as a postdoctoral research fellow at the University of Michigan in Ann Arbor. My research interests revolve around developing innovative computational and analytical frameworks that empower autonomous robots to navigate and perform complex tasks in dynamic and uncertain environments. I am passionate about creating cutting-edge solutions that enhance the capabilities of robots in real-world scenarios. In recognition of my work, I was honored with the Best Student Paper Award in 2014 at the ACM International Conference on Hybrid Systems: Computation and Control (HSCC). Additionally, my research was acknowledged as a finalist for the Best Conference Paper Award in 2016 at the IEEE International Conference on Robotics and Automation (ICRA). In 2022, I was awarded the prestigious NSF CAREER Award to develop a novel hierarchical reinforcement learning framework. This framework aims to ensure safe bipedal locomotion, thereby promoting the widespread deployment of humanoid robots and lower-limb exoskeletons in real-world applications. I have also contributed to the field through the development of FROST, an open-source, unified software framework. FROST facilitates mathematical modeling, fast trajectory optimization, model-based control design, and simulation for a wide range of robotics and autonomous systems.