School of Medicine
Showing 1-20 of 44 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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Philip Chung
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a general anesthesiologist and physician-scientist with prior training as an engineer. My areas of research include clinical informatics, natural language processing, machine learning, and artificial intelligence applied to perioperative medicine and anesthesiology. Currently I am a postdoctoral fellow in Nima Aghaeepour's laboratory. See my CV and Biosketch for more information.
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Karlyn Edwards
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsAdapting and testing psychological interventions for chronic pain and opioid misuse, identifying patients factors related to psychological and medication treatment responsiveness, latent variable modeling, brief digital psychological interventions, Acceptance and Commitment Therapy, Mindfulness
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Dorien Feyaerts
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsBiomedical scientist and immunologist with a strong background in fetal-maternal immunology that aims to conduct impactful translational research in women’s health to improve the health of mothers and their children.
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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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Debapriya Hazra
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI did my Ph.D. in Machine Learning Lab at Jeju National University, South Korea. After pursuing master’s in Computer Application, I worked as a software engineer at Atos Global IT Solutions and Services Pvt. Ltd. in India and Germany. I obtained bachelor’s degree in Computer Science Honors from University of Calcutta, India.
My specialization is in generating synthetic data using generative adversarial networks (GAN) and enhancing classification or prediction accuracy for disease diagnosis. During my Ph.D. studies, I have worked with biomedical signals, microbiomes, microscopic cell images, nucleic acid sequences and also with data from other domains.
I am currently a postdoctoral fellow at Nima Aghaeepour Lab working on machine learning analysis of biomedical data with a focus on generative and predictive modeling. -
Tuuli Maria Hietamies
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Marketing Intern, Office of Technology Licensing (OTL)BioTuuli Hietamies, PhD, is a postdoctoral researcher at the Department of Anaesthesiology, Perioperative and Pain Medicine. Her research interests include studying psychedelics and utilising these in the context of brain injury and rehabilitation.
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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.
