School of Medicine
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Nazanin Mahinparvar
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioNazanin Mahinparvar, MD, graduated from Isfahan University of Medical Sciences in Iran. Before joining Stanford, she spent three years as a Physician Director at a rehabilitation and long-term care center for older adults. Caring for patients with pain, mobility limitations, and loss of independence shaped her belief that medicine is not only about treating disease, but also about helping people preserve function, independence, and quality of life.
She later joined the Dr. David Yeomans Lab, Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine as a postdoctoral scholar, where her research has focused on developing novel, non-opioid approaches for chronic pain. Having personally experienced chronic pain during adolescence, she understands how deeply persistent pain can affect movement, daily function, and quality of life. Studying pain at Stanford transformed that personal understanding into a professional mission: not simply to reduce pain, but to help people regain function and return to meaningful, active lives.
Art and movement have deeply influenced the way she sees medicine. Through playing the piano, painting, dancing, ice skating, swimming, and exercise, she has developed a strong appreciation for the connection between movement, coordination, precision, creativity, and human performance. To her, restoring function is about more than restoring movement—it is about helping people return to the activities, passions, and forms of expression that are meaningful to them.
Leadership, education, and mentorship are also central to her academic work. As a Faculty Educator and instructor for the Stanford Microsurgery Fall Internship through the Stanford Anesthesia Summer Institute (SASI), she brings together medicine, art, and education by incorporating art-inspired exercises into microsurgical training to develop fine motor control, hand-eye coordination, precision, and dexterity. She is passionate about creating engaging learning experiences and inspiring the next generation of learners in medicine.
Together, her experiences in rehabilitation, pain medicine, education, movement, and art ultimately led her to Physical Medicine & Rehabilitation (PM&R), where these interests naturally come together. She is particularly interested in interventional pain, musculoskeletal and Sport medicine, and the intersection of rehabilitation with movement and human performance. Her goal is to build a clinical and academic career focused on restoring function, improving quality of life, and helping people return to what matters most to them. -
Rory Vu Mather
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI'm a future physician-scientist working at the intersection of statistics, machine learning, and neural signal processing. As part of the Harvard/MIT MD-PhD Program, I recently completed my PhD in Medical Engineering & Medical Physics (MEMP) through the Harvard-MIT Health Sciences and Technology (HST) Program.
Currently I'm a postdoctoral fellow in pediatric anesthesiology with Dr. Jennifer Rabbitts and Dr. Cornelius Groenewald at Stanford, where I apply causal inference methods to large-scale electronic health record data to estimate how intraoperative decisions shape long-term postoperative pain and opioid outcomes in children.
I'm also interested in medical education and administration, particularly supporting minority populations such as LGBTQIA+ and Vietnamese communities. Outside of science, I bring a background in graphic design, marketing, and brand development for technology companies, universities, and non-profits. -
Shadi Momtahen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioShadi Momtahen holds a BSc and MSc in Computer Science and Engineering, and a Ph.D. in Mechatronic Systems Engineering from Simon Fraser University, where she collaborated with the BC Cancer Agency on deep learning applications for cancer detection and treatment. She previously served as a Postdoctoral Research Fellow in the Department of Medicine at the University of British Columbia, working with the International Collaboration on Repair Discoveries (ICORD) to develop machine learning models for biosensor-based health monitoring.
Currently, Shadi is a Postdoctoral Scholar at the Aghaeepour Lab at Stanford Medicine. Her research focuses on applying deep learning to large-scale medical datasets—including wearable vital signs—to identify clinically relevant patterns and enable predictive, personalized healthcare.
