School of Medicine
Showing 1-50 of 50 Results
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Anna Booman
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAnna Booman, PhD, MS is a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative, and Pain Medicine. She is also affiliated with the Dunlevie Maternal-Fetal Medicine Center for Discovery, Innovation, and Clinical Impact. She conducts perinatal pharmacoepidemiology research through the use of large observational datasets, such as the Merative MarketScan Database, and complex epidemiologic methods.
Dr. Booman received her BS in Mathematical Biology (minor: Computer Science) from the College of William & Mary, her MS in Computational Biology & Quantitative Genetics from the Harvard T.H. Chan School of Public Health, and her PhD in Epidemiology from the Oregon Health & Science University School of Public Health. Her research has spanned many areas of perinatal epidemiology, including a focus on twin gestations, rare genetic disorders, gestational weight gain, and insurance discontinuity in pregnancy. -
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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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. -
Marc Ghanem
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsData-driven healthcare and AI research in a translational setting.
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Alex J Goodell
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioAnesthesiologist and internist interested in artificial intelligence and large language models in medicine. Currently, my primary focus is on developing and evaluating applications of large language models to improve the "user experience" of patients (who spend too much time fighting the system that is tasked with healing them) and doctors (who spend too much time fighting the system that is supposed to help them be healers).
Interests:
- Benchmarking LLMs as clinical calculators
- Medical summarization by LLMs
- Agentic /tool-using language models
- GenerativeAI for Medical Education and Simulation
- Data equity in LLMs
- Novel benchmarks for clinical LLMs, including simulation
- Participatory research, open-source software
I'm a Clinical Scholar in the Dept of Anesthesiology and a Post-Doctoral Fellow in Anesthesiology / Biomedical Data Science in the lab of Nima Aghaeepour.
I completed medical school at the UC Berkeley - UCSF Joint Medical Program, followed by the Combined Internal Medicine/Anesthesiology Residency at the Stanford School of Medicine, and a fellowship in Anesthesia Informatics at the Stanford AIM Lab. -
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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Mona Khorani
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsLeveraging multi-omics and data analysis to uncover disease mechanisms.
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Samsuk Kim, PhD.
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Kim is dual research and clinical T32 fellow working with Drs. Beth Darnall, Sean Mackey, and Heather Poupore-King. Her research is focused on developing and testing innovative digital interventions for chronic pain. Prior to Stanford, she received her doctoral degree in clinical psychology from the University of Detroit Mercy and external research training at the University of Michigan (at the Kratz Lab) with a focus on psychosocial factors (e.g., mindfulness, pain acceptance) for chronic pain. She completed an APA-accredited internship at the VA Boston Healthcare System. Her clinical interest is broadly focused on pain management, health promotion, adjustment-related issues, and emotional regulation. She uses a number of treatment approaches including Cognitive-Behavioral Therapy, Acceptance Commitment Therapy, mindfulness-based treatments, Dialectical Behavioral Therapy, and interpersonal psychotherapy approaches.
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Theresa Lii, M.D., M.S.
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineCurrent Research and Scholarly InterestsEvaluating the analgesic and antidepressant effects of ketamine in humans
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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 InterestsI strive to understand the phenomenology, dynamics, mechanisms, and impact of subjective experiences that occur across different states of consciousness—from wakefulness to normal sleep and dreaming, to anesthesia dreaming, and to psychedelic experiences. As part of my doctoral research, conducted under the mentorship of Prof. Antti Revonsuo, I investigated the conceptual and methodological challenges in the study of dream experiences, the neural correlates of these experiences, and how dreaming is associated with waking well-being. In 2021, I joined Stanford University as a Postdoctoral Scholar, initially working at the Stanford Psychophysiology Laboratory under the mentorship of James J. Gross. In this role, I expanded my research to explore emotions and emotion regulation across the wake-sleep cycle and to study an oft-overlooked aspect of well-being--peace of mind. Since November 2023, I have been a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative and Pain Medicine, where, under the mentorship of Dr. Boris Heifets, I am investigating transformative experiences, specifically, the mechanisms and therapeutic potential of anesthesia-induced dream states and psychedelic experiences.
Leveraging my unique multidisciplinary background, my goal is to bridge the fields of consciousness research, sleep and dream research, emotion research, and well-being research and draw upon the concepts, theories, and methods from psychology, neuroscience, and (molecular) biology. To this end, I have experience in using diverse methods, including self-reports (development, validation, and use of questionnaires), interviews, ecological momentary assessment (EMA/ESM; diaries), behavioural experiments, natural language processing, sleep monitoring techniques, and electrophysiological (EEG/ERP) recordings, combined with qualitative and quantitative data analysis.
With an overarching goal of conducting research with societal impact, I aspire to: (1) develop innovative diagnostic and prognostic markers of mental health and well-being, and (2) to devise and test interventions scalable for enhancing the mental and physical well-being of communities. -
Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha Sujan, PhD, is a postdoctoral fellow in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine. Her research focuses on evaluating the safety and effectiveness of opioid and psychiatric medications in pregnancy using large samples of publicly and privately insured patients in the US. She also has research interests in evaluating the safety of prescribing pain and psychotropic medications in pediatric populations. In addition to her research, Dr. Sujan also works as a clinician in the Pediatric Pain Management Clinic at Stanford conducting psychosocial assessments and providing pain psychology treatment for youth with 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.
