School of Medicine
Showing 1-20 of 57 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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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 Scholar, 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
BioDr. Joel Fundaun is a clinician-scientist specializing in neuropathic pain following traumatic cervical spine injuries. His research focuses on uncovering the biological mechanisms underlying chronic pain and developing tools to stratify pain risk after trauma, such as whiplash and spinal cord injury. He integrates structural neuroimaging with biological samples to investigate why some individuals develop persistent pain while others recover.
Dr. Fundaun earned his Doctor of Physical Therapy degree from Regis University, completed an Orthopaedic Physical Therapy Residency at Northwestern University–Shirley Ryan AbilityLab, and received his PhD in Clinical Neurosciences from the University of Oxford.
He is currently a Postdoctoral Research Fellow at Stanford University, where he conducts translational research in pain neuroscience and provides care for patients with complex chronic pain at the Stanford Pain Management Center. His ultimate goal is to translate mechanistic insights into tools that can improve early diagnosis and personalize treatment strategies. -
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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Alex J Goodell
Clinical Assistant Professor, 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 heal others).
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.
