Renoa Choudhury is a T32 Postdoctoral Fellow in the NIH-funded Translational Research in Aging and Mobility (TRAM) program at the University of Florida. My research focuses on understanding fall risk and mobility decline in older adults and identifying biomechanical targets that can guide interventions in aging and rehabilitation. In my current work, I am developing machine learning models to assess fall risk in older adults with mild cognitive impairment by integrating biomechanical, neurophysiological, and clinical measures. With a background in mechanical engineering and biomechanics, my broader research interests and expertise include gait and balance assessments, movement asymmetry, wearable sensing, and biomechatronics.