School of Medicine
Showing 1-50 of 65 Results
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Austen Brooks Casey
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAusten Brooks Casey, PhD, is a postdoctoral scholar in the Department of Anesthesiology, Perioperative and Pain Medicine (advisor: Boris Dov Heifets, MD, PhD). He originates from western North Carolina, and has had a long-standing interest in psychiatric drug discovery, which was invigorated by initial coursework in organic chemistry and biochemistry. Austen trained at Northeastern University (advisor: Raymond G. Booth, PhD) where he studied the medicinal chemistry and molecular pharmacology of novel ligands targeting serotonergic G protein-coupled receptors. As a postdoc, he is investigating the the precise cell-type(s) and circuitry engaged by MDMA that evoke social approach and fear extinction retention in mice. His long-term goal is to perform circuit-based drug discovery targeting neural circuits underlying the symptoms and treatment of psychiatric disorders.
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Xiangjun Chen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Xiangjun Chen is a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University. He earned his Ph.D. in Materials Science from UC San Diego, where he also completed a postdoctoral training prior to joining Stanford. His work focuses on engineering soft wearable systems for healthcare monitoring, AI-driven human-machine interfaces, and advanced actuators and sensors for soft robotics.
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Bernard Mawuli Cobbinah
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioCobbinah Bernard Mawuli is a Postdoctoral Scholar at Stanford University in the Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine. He is passionate about the intersection of AI and medicine, focusing on developing robust and effective approaches for preventive and predictive healthcare. His research aims to deepen the understanding of high-dimensional multi-omics medical data using advanced machine learning techniques. By exploring innovative ways to analyze this data, his work contributes to improved treatments and enhanced patient care. Through the analysis of large patient datasets, his goal is to create tools that empower clinicians to make more informed decisions, ultimately improving healthcare outcomes for all.
Prior to joining Stanford, he pioneered robust federated learning techniques for evolving data streams and developed methods to reduce multi-center MRI variability in diagnosing brain disorders. -
Ben Deverett
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioDr. Ben Deverett, MD, PhD, is an anesthesiologist and researcher with a focus in machine learning, consciousness science, and global health.
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Xiruo Ding
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, advised by Dr. Nima Aghaeepour, focusing on EHR-related modeling and phenotyping. My research interests lie in the application of general machine learning and deep learning methods to enhance healthcare outcomes.
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Patricia Dionicio
Postdoctoral Scholar, Pediatric Anesthesia
BioPatricia Dionicio, PhD, MPH is a postdoctoral fellow in the Department of Anesthesiology, Perioperative and Pain Medicine in the School of Medicine at Stanford University. Her research aims to reduce health disparities in pain among underserved populations through human-centered design and digital interventions. She has expertise in integrating mixed methods with longitudinal assessment tools to understand systemic and momentary factors impacting health behavior.
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Joel Fundaun
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioJoel Fundaun is a clinician-scientist specializing in chronic pain following traumatic head and neck injuries. His research aims to identify the drivers of pain persistence and develop tools to better predict recovery after traumatic injuries. By integrating clinical phenotyping, neuroimaging, and molecular biomarkers, he investigates why some individuals develop chronic pain while others recover.
Joel earned his Doctor of Physical Therapy from Regis University and completed an Orthopaedic Physical Therapy Residency at Northwestern University–Shirley Ryan AbilityLab. He received his DPhil (PhD) in Clinical Neurosciences from the University of Oxford, where his doctoral research identified novel signs of nerve injury and neuropathic pain in whiplash-associated disorders.
Currently, he is a Postdoctoral Research Fellow at Stanford University. He also continues to work clinically as a physical therapist at the Stanford Pain Management Center, where he treats patients with complex chronic pain conditions. -
Marc Ghanem
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsMarc's research focuses on leveraging deep learning to identify clinically relevant patterns within large medical datasets, aiming to deliver personalized and predictive healthcare solutions. Current projects include building comprehensive perioperative foundation model, optimizing neonatal total parenteral nutrition (TPN), analyzing anesthesiology research trends, and identifying differential responders and their characteristics in clinical trials.
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Aleesha Jethwa
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr Jethwa is a postdoctoral fellow working in Dr Sultan's lab, within the Obstetric Anesthesiology Department. She is funded by the R90 HEAL/Pain Cohort grant. Her research focuses on the peripartum period and how targeted interventions can alter recovery trajectories.
Dr Jethwa previously worked as a resident anesthesiologist in the UK for 7 years including rotations in Internal Medicine, Obstetrics, and Pain Medicine and completed a Masters in Education at the University of Pennsylvania focused on medical education. -
Samsuk Kim, PhD.
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Samsuk Kim is a dual research and clinical T32 fellow at Stanford University. She earned her PhD in Clinical Psychology from the University of Detroit Mercy and completed external research training at the University of Michigan (Kratz Lab), where she studied psychosocial factors—such as mindfulness and pain acceptance—in chronic pain. She also completed an APA-accredited internship at the VA Boston Healthcare System. Clinically, Dr. Kim specializes in pain management, health promotion, adjustment-related challenges, and emotional regulation. She draws from a range of evidence-based treatments, including Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (ACT), mindfulness-based interventions, Dialectical Behavior Therapy (DBT), and interpersonal psychotherapy. Her current research focuses on understanding the bidirectional relationship between sleep and pain and developing personalized, digital interventions to improve outcomes in both domains.
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Yijie (Jamie) Li
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, working on longitudinal wearable data to study interventions for diabetes and childhood obesity. I use computational and machine learning methods to extract actionable insights from high-resolution health data to improve treatment outcomes. Previously, I completed my Ph.D. in Computer Science at the University of Tulsa, focusing on machine learning for major depressive disorder using genomics, gene age, and neurofeedback. I also hold master’s degrees in Applied Economics and Finance from UC Santa Cruz and in Accountancy from the University of Tulsa, where I worked on financial modeling and stock market analysis.
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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 in the 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. Following Dr. Yeomans’ retirement, she had the opportunity to continue her research in Dr. Creed Stary’s lab, carrying the project forward and further developing her work in translational pain research. Her experience studying pain at Stanford has shaped her 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 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, sports medicine, and performing arts medicine, as well as the broader intersection of rehabilitation, 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 the activities and pursuits that matter 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. -
Cerag Oguztuzun
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Biohttps://cerag.neurograph.net/
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Pritam Kumar Panda
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDr. Panda’s current research at Stanford University School of Medicine centers on the innovative design of anesthetics optimized for battlefield application. His work integrates advanced methodologies such as AI-driven protein design, molecular dynamics simulations, and computational drug design to identify and model potential anesthetic compounds with precision and efficacy.
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Richard Perez, MD
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioDr. Richard Perez is a board-certified, fellowship-trained pain management specialist with Stanford Health Care. He is also a clinical scholar in the Department of Anesthesiology, Perioperative & Pain Medicine, Division of Pain Medicine at Stanford University School of Medicine.
Dr. Perez cares for people living with complex chronic pain, nerve-related pain, and musculoskeletal pain conditions. He specializes in nonsurgical therapies, such as nerve blocks, to relieve pain. He takes a highly personalized and compassionate approach to pain medicine, informed by a deep understanding of the biology of pain.
As an active physician-researcher, Dr. Perez studies how changes in cells contribute to chronic pain and immune-related disease. He uses advanced genetic technologies to analyze patterns across individual immune and nervous system cells. His work aims to understand what causes chronic pain, supporting the development of more targeted and effective therapies.
Dr. Perez has published his findings in leading peer-reviewed journals, including Science, Science Translational Medicine, Nature Communications, and British Journal of Anaesthesia. He has also presented to peers at meetings of the American Academy of Pain Medicine, American Society of Anesthesiologists, and International Anesthesia Research Society.
Dr. Perez is a member of the American Society of Anesthesiologists and the International Anesthesia Research Society. -
Amin Sadeghi
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsApplications of artificial intelligence in medicine
