Jeffrey Wang, MD, PhD

	Director of mobile development, Author – WikiAnesthesia;
Clinical role	Resident physician
Practice type	Academic
	Authorship
Authorship score	0
Total edits	0
Articles edited	0
Articles created	0
Total characters added	0
	See authorship history
	Achievements
	See progress for all achievements
	Practice groups
	Johns Hopkins University (Administrator);

VisualWikitext

Revision as of 17:29, 10 January 2026

Hailing originally from the Midwest, Jeffrey is currently an anesthesiology resident at Johns Hopkins. He studied Applied Mathematics as an undergraduate at Harvard University. Afterwards, he went across the country to pursue an MD/PhD in Biophysics at Stanford, studying the use of focused ultrasound to deliver anesthetic agents such as propofol and ketamine to specific areas of the brain for neuromodulation and leveraging machine learning and computational techniques to gain insight from human intracranial stereo-EEG. He is interested in using realtime hemodynamic monitoring and neuromonitoring to predict neurologic outcomes in the perioperative and critically ill populations. Furthermore, he is thrilled to be working with the WikiAnesthesia team to develop mobile solutions for rapid clinical decision support that are freely available, evidence-based, and easy to access and digest in the perioperative setting.

Outside the OR, Jeffrey enjoys ballet, having performed with the Cardinal Ballet Company during medical school. He also enjoys burning food in the kitchen and going on long hikes with his spouse and dog.

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-Hailing originally from the Midwest, Jeffrey is currently an anesthesiology resident at Johns Hopkins. He studied Applied Mathematics as an undergraduate at Harvard University. Afterwards, he went across the country to pursue an MD/PhD in Biophysics at Stanford, studying the use of focused ultrasound to deliver anesthetic agents such as propofol and ketamine to specific areas of the brain for neuromodulation and leveraging machine learning and computational techniques to gain insight from human intracranial stereo-EEG. He is interested in using realtime hemodynamic monitoring and neuromonitoring to predict neurologic outcomes in the perioperative and critically ill populations. Furthermore, he is thrilled to be working with the WikiAnesthesia team to develop mobile solutions for rapid clinical decision support in the perioperative setting that are freely available, evidence-based, and easy to access and digest.
+Hailing originally from the Midwest, Jeffrey is currently an anesthesiology resident at Johns Hopkins. He studied Applied Mathematics as an undergraduate at Harvard University. Afterwards, he went across the country to pursue an MD/PhD in Biophysics at Stanford, studying the use of focused ultrasound to deliver anesthetic agents such as propofol and ketamine to specific areas of the brain for neuromodulation and leveraging machine learning and computational techniques to gain insight from human intracranial stereo-EEG. He is interested in using realtime hemodynamic monitoring and neuromonitoring to predict neurologic outcomes in the perioperative and critically ill populations. Furthermore, he is thrilled to be working with the WikiAnesthesia team to develop mobile solutions for rapid clinical decision support that are freely available, evidence-based, and easy to access and digest in the perioperative setting.
 Outside the OR, Jeffrey enjoys ballet, having performed with the Cardinal Ballet Company during medical school. He also enjoys burning food in the kitchen and going on long hikes with his spouse and dog.
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