School of Medicine
Showing 1-10 of 51 Results
-
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.
-
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.
