Dr. Rose T. Faghih is an associate professor of Biomedical Engineering at the New York University (NYU) where she directs the Computational Medicine Laboratory (CML) within the NYU Langone Health’s Tech4Health Institute. Prior to joining NYU, she was an assistant professor of Electrical and Computer Engineering at the University of Houston. The goal of her research is to develop algorithms for designing: MINDWATCH, i.e.,  smartwatches of the future that can monitor brain activity and use simple, everyday actuators (e.g., music or light) to improve mental health and performance, and HEALTHWATCH, wearable biochemical sensing devices of future that can infer health states such as inflammation, fatigue and metabolism. Dr. Faghih received her bachelor’s degree (summa cum laude) in Electrical Engineering (Honors Program Citation) from the University of Maryland, and S.M. and Ph.D. degrees in Electrical Engineering and Computer Science with a minor in Mathematics from Massachusetts Institute of Technology (MIT), where she was a member of the MIT Laboratory for Information and Decision Systems as well as the MIT-Harvard Neuroscience Statistics Research Laboratory. She completed her postdoctoral training at the Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory at MIT as well as the Department of Anesthesia, Critical Care and Pain Medicine at the Massachusetts General Hospital. Dr. Faghih is the recipient of various awards including a 2023 National Institutes of Health (NIH) Maximizing Investigators’ Research Award for Early Stage Investigators, a 2020 National Science Foundation CAREER Award, a 2020 MIT Technology Review Innovator Under 35 award, a 2020 Research Excellence award as well as a 2020 Teaching Excellence Award from the University of Houston’s Cullen College of Engineering, a 2016 IEEE-USA New Face of Engineering award, a National Science Foundation Graduate Research Fellowship, an MIT Graduate Fellowship, and the University of Maryland’s Department of Electrical and Computer Engineering Chair’s Award. In 2020, she was featured by the IEEE Women in Engineering Magazine as a “Woman to Watch”. Dr. Faghih was selected by the U.S. National Academies of Sciences, Engineering, and Medicine for the 2024 U.S.-Africa Frontiers Program. Moreover, she was selected by the U.S. National Academy of Engineering for the 2019 U.S. and the 2023 E.U.-U.S. Frontiers of Engineering Programs. In 2020, she was selected by the New York Academy of Sciences and Japan Agency for Medical Research and Development for the Interstellar Initiative. In 2022, she was recognized by the University of Maryland A. James Clark School of Engineering as an Early Career Distinguished Alumni. Furthermore, she has been inducted into various honor societies including Phi Kappa Phi, Tau Beta Pi, and Eta Kappa Nu. Dr. Faghih is on the editorial board of PNAS Nexus by the U.S. National Academy of Sciences and IEEE Transactions on Neural Systems and Rehabilitation Engineering. Moreover, she is a senior member of IEEE and currently an IEEE Engineering in Medicine and Biology Society Administrative Committee Technical Representative. Dr. Faghih is the senior author of a Biomedical Engineering book titled Bayesian Filter Design for Computational Medicine published by Springer. Her research interests include wearable technologies, medical cyber-physical systems, and neural and biomedical signal processing. In addition to health engineering research, she enjoys poetry and published two original poetry books during her undergraduate years.