Integrated Sciences Course
In this team-taught course, I teach neuroscience, neurophysiology, and neuroanatomy content to first and second-year medical students.
Hello, I'm
Assistant Professor of Neuroscience, Geisinger College of Health Sciences
I'm a educator and researcher working at the intersection of neuroscience, medical education, and artificial intelligence. My work focuses on utilizing modern data science and AI tools to best serve the education of student learners. I am also interested in cellular neurophysiology and pathophysiology of ion channels.
I am an Assistant Professor of Neuroscience at Geisinger College of Health Sciences. My teaching and mentorship of medical and graduate students is guided by a commitment to developing thoughtful, patient-centered healthcare leaders. Increasingly, that work draws on the intersection of neuroscience, medical education, and AI — particularly in how AI tools can support the teaching and learning process.
Before joining Geisinger, I completed my PhD at the University of Virginia and my Postdoc at the Children's Hospital of Philadelphia, where I studied voltage-gated ion channels and cellular physiology. That scientific training — and years of teaching ion channel and cellular physiology — shapes how I think about integrating computational approaches and AI tools into medical education.
I care about training the next generation of healthcare providers and scientists to use AI tools thoughtfully — skeptically when warranted, fluently when useful, and always with patients at the center. Outside of work, I enjoy coffee, playing chess, reading non-fiction, exercise, and spending time with my wife Ellie and daughter Marlowe.
Selected peer-reviewed articles and preprints. For the full list, see my Google Scholar profile.
Developmentally regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome
Cell Reports, 38, 110580, 2022.
Somatostatin-positive interneurons contribute to seizures in SCN8A epileptic encephalopathy
The Journal of Neuroscience, 41(44):9257–9273, 2021.
The role of the persistent sodium current in epilepsy
Epilepsy Currents, 21(1):40–47, 2021. (Review)
I teach and mentor across the preclinical and graduate curricula — with a focus on neuroscience, physiology, and the thoughtful use of AI in medical education.
In this team-taught course, I teach neuroscience, neurophysiology, and neuroanatomy content to first and second-year medical students.
In this course, I teach Master's students the core principles of Human Neuroscience including basic neurophysiology, neuroanatomy, systems neuroscience, and human behavior.
I facilitate case-based learning in small group settings through guided discussions of patient cases
Through the educational lens of model-based learning, I am exploring how AI-tools can support robust active learning through real-time simulation/iteration of scientific models of complex physiological phenomena.
Along with my colleague, Dr. Brian Piper, I am exploring geographic and sociodemographic patterning of medical cannabis certification for various severe medical conditions.
Using electronic health record data alongside ion channel biophysics to better understand and treat individual patients with genetic epilepsy.
I mentor medical students and graduate students at Geisinger College of Health Sciences on projects involving AI in medical education, medical cannabis epidemiology, and ion channel physiology. If you're a trainee interested in working together, please get in touch.
The best way to reach me is by email. I try to reply to students and trainees within a few days — for other inquiries, please allow a bit more time.