Anesthesiology, Perioperative and Pain Medicine
Showing 1-61 of 61 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 drug discovery for major depression and schizophrenia, 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 pharmacology of novel ligands targeting serotonergic G protein-coupled receptors. Currently, he is investigating neural circuits activated by psychedelic drugs, with the long-term goal of using modern techniques in neuroscience to complement drug design efforts toward the development of novel antidepressant and antipsychotic medications.
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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 computational neuroscience, 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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Tomin James
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioMy work involves designing and developing AI/ML-based algorithms to find answers for cutting-edge problems using multi-disciplinary data. This involves data from space-borne and ground-based instruments for astrophysics and space science studies, high-speed imaging data for behavioral neuroscience experiments, multi-omics data for finding biomarkers affecting population health, clinical data for detecting health anomalies, and EHR data for patient trajectory prediction and personalized medicine.
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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. -
Merve Kaptan. PhD
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Kaptan is a researcher with a background in psychology and neuroscience whose work focuses on methodological innovation in quantitative MRI to characterize the structure and function of the brain, spinal cord, and musculoskeletal system. Her research aims to develop imaging markers for neurological, musculoskeletal, and chronic pain disorders.
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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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Rory Vu Mather
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineCurrent Role at StanfordPostdoctoral Scholar in the Rabbitts and Groenewald Labs within the Department of Anesthesiology, Perioperative and Pain Medicine
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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. -
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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Ashley Phoenix
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ashley Phoenix earned her B.S. in Biological Sciences from the College of Charleston, where her passion for neuroscience first took root through undergraduate research on drug seeking behavior at the Medical University of South Carolina. She went on to complete an M.S. in Biomedical Sciences at the University of Alabama at Birmingham, strengthening her scientific foundation before earning her M.D. at Wake Forest University School of Medicine.
Her research career has spanned diverse yet interconnected realms of neuroscience — from investigating post-stroke cognitive decline at MUSC, to exploring the neurodevelopmental basis of disorders such as Rett syndrome at the NIH National Institute of Environmental Health Sciences, to contributing to neurosurgery research at Wake Forest with a focus on cognition and perioperative outcomes.
Now, as a Postdoctoral Research Fellow in the Neuroanesthesia Laboratory of Dr. Miles Berger at Stanford, Dr. Phoenix is uniting her lifelong fascination with the brain and cognitive decline, and her future clinical practice in anesthesiology. Her current work focuses on elucidating the mechanisms behind — and developing early detection strategies for — postoperative delirium in the elderly surgical population.
Through this fellowship, Dr. Phoenix is building the foundation for her career as a physician-scientist, committed to advancing patient care while pursuing research that safeguards cognitive health in the perioperative setting. -
Amin Sadeghi
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsApplications of artificial intelligence in medicine
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Pilleriin Sikka
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsWhat makes certain experiences transformative, and how can we harness them to support resilience and mental health? I explore this question by studying emotions across various states of consciousness—waking, dreaming, anesthesia, psychedelics, and meditation. With a background in psychology, neuroscience, and anesthesiology, I bring together methods that are rarely combined: daily diaries and surveys, language and narrative analysis, neurophysiological recordings, lab experiments, and clinical trials. My work has three main aims: (1) to understand how affective experiences unfold across states; (2) to test whether these experiences can be deliberately shaped to support mental health; and (3) to identify the mechanisms that make them transformative. This interdisciplinary approach has led to the first controlled studies of anesthesia-induced dreams for trauma, new insights into peace of mind and emotion regulation, and cross-state comparisons showing how affective experiences in altered states can foster resilience. My long-term goal is to develop a new frontier in affective science: the study of how transformative experiences across different states of mind can improve well-being.
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Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha C. Sujan, PhD, is a licensed clinical psychologist with specialized clinical training in pediatric pain psychology and extensive research experience in pharmacoepidemiology, particularly in using large administrative datasets to study central nervous system medication and substance use during pregnancy. She is currently a postdoctoral fellow under the primary mentorship of Dr. Jennifer Rabbitts, Chief of Pediatric Pain, in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine, and is supported by an NIH T32 training grant (T32GM089626) focused on developing leaders in academic anesthesiology and pain medicine research. In addition to contributing to Dr. Rabbitts’ NIH-funded research on mechanisms and treatment of pain in youth undergoing surgery, she leads independent studies on pediatric chronic abdominal pain and disorders of gut–brain interaction, with a growing focus on central nervous system medication treatment for these conditions. Clinically, she conducts psychosocial assessments and provides evidence-based pain psychology treatment one day per week (20% FTE) in the outpatient pediatric pain management clinic at Stanford University School of Medicine, ensuring strong clinical grounding and translational relevance of her research program.
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Moe Takenoshita
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI’m a clinician‑scientist with expertise in perioperative care and maternal health, bridging evidence-based medicine, equity, and implementation science.
I’m currently taking a leading role in a multicenter, longitudinal NIH‑funded study with Stanford University’s Department of Anesthesiology—aimed at improving maternal outcomes. In addition, I lead multiple international research studies in maternal care, with research experience both in the United Kingdom and the United States, giving me valuable cross‑system insights.
I’m passionate about translating clinical passion into tangible impact, ensuring that technological solutions are designed with the patients' and their communities in mind. If you’re working in perioperative medicine, global maternal health, or translational medicine, let’s connect to explore collaborative opportunities. -
Yiyu Wang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Yiyu Wang is a T32 postdoctoral researcher at the Department of Anesthesiology, Stanford School of Medicine. Her research combines computational models and neuroimaging techniques to characterize the neural architecture underlying complex human experiences in emotion and pain. Her current work focuses on leveraging deep learning, foundation models, and explainable AI to improve neuroimaging-based markers as well as multi-modal markers of chronic pain.
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Liu Yang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsMy current focus lies in analyzing bedside monitoring waveforms and electronic health record data to understand their correlations with adverse conditions in premature infants, and to explore effective solutions that can enhance the outcomes for these vulnerable patients.
