School of Medicine
Showing 261-270 of 665 Results
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Samantha Huestis
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly Interests- Employ outcomes tracking to delineate risk & resilience factors in youth with pediatric pain.
- Understand the role of peers, parents/caregivers, & systems (e.g., family, school, hospital, community) in the management of pediatric pain conditions.
- Improve functioning, behavioral health, and quality of life in youth with discomfort and their families through provision of evidence-based therapies.
- Empower families & sensitize providers to the importance of therapeutic collaborations. -
Andrea J Ibarra
Instructor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ibarra is a board-certified anesthesiologist with a focused research interest in preeclampsia and brain health. She completed her anesthesiology training at the University of Pittsburgh in 2019. Committed to bridging clinical excellence with rigorous scientific inquiry, Dr. Ibarra earned a master's degree in clinical research at Pitt. In 2023, her research promise was recognized with the prestigious SOAP-FAER Mentored Research Training Grant, which investigated the long-term neurological implications of preeclampsia. Her research portfolio centers on the intersection of anesthesia, women's health outcomes, and cognitive function, contributing to the growing body of evidence in perioperative neuroscience.
Outside of her clinical and academic pursuits, Dr. Ibarra is passionate about cooking and travel, drawing inspiration from diverse cultures around the world. -
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.
