My research group will focus on human-robot partnerships that intelligently assist, rehabilitate and augment human performance. I am using reinforcement learning to better quantify human behavior and response to lower-limb exoskeleton interactions during walking. I defended my Ph.D. dissertation, "Practice Makes Perfect: Leveraging Exoskeleton Interactions To Elucidate The Motor Learning Process," at the University of Texas at Austin in July 2023 - where my research focused on upper-limb wearable devices. I earned my M.S. in Mechanical Engineering at Columbia University in 2018 where I explored the impact of pelvic forces on gait rehabilitation in able-bodied participants and those suffering from cerebral palsy. My other research stints include internships at IIT Bombay (2015-16), Intel (summer 2018), and Meta Reality Labs (summer 2022). I was honored as a 2022 Rising Star in ME and a 2023 CalTech Young Investigator Lecturer, and have received funding from various sources including UT Austin's graduate fellowship (2022-23), an NSF M3X grant, and through collaborations with Meta Reality Labs and Google Brain. 

The promising combination of human intuition & intention with ever-improving robot design & intelligence will inevitably lead to wearable robots becoming as ubiquitous as smartphones and smartwatches. I am passionate about realizing this vision through my research.