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Jonathan Zia M.D., Ph.D.

Professional Tinkerer

Home: Welcome

I am a neurology resident at Stanford University. I graduated from Emory University School of Medicine (M.D.) in 2022 and earned my Ph.D. in Electrical and Computer Engineering from Georgia Tech in 2020. Previously, I graduated from Arizona State University in 2016 with a BSE in Electrical Engineering. I am interested in medical applications of electrical engineering and computer science.

Home: About Me

Key Experience


July 2022 - Present

Resident Physician

Neurology resident at Stanford University, currently completing internship in internal medicine.


Jan 2018 - Aug 2020
(Oct 2021 - May 2022)

(Post-Doc Researcher)

Graduate research assistant (GRA) in the Inan Research Lab of the Department of Electrical and Computer Engineering. Research focused on using machine learning to create next-generation devices for physiological monitoring.


Oct 2013 - May 2016

Undergraduate Researcher

Undergraduate researcher in the Center for Cognitive Ubiquitous Computing (CUbiC) of the Ira A. Fulton Schools of Engineering. Research focused on artificial intelligence for freezing of gait (FoG) prediction in Parkinson's patients.

Home: Experience

Key Education


July 2016 - May 2022

MSTP Program

Earned MD from Emory University as part of the Medical Scientist Training Program (MSTP), an NIH-funded program for training physician-scientists.


Jan 2018 - Aug 2020


Earned PhD from the Georgia Institute of Technology in the lab of Dr. Omer Inan. Research focused on applications of machine learning to cardio-mechanical signal analysis.


Aug 2012 - May 2016


BSEE in Electrical Engineering from Arizona State University. Also completed pre-medical coursework and the Chinese Language Flagship Program non-diploma track.

Home: Education

Key Publications


Enabling the assessment of trauma-induced hemorrhage via smart wearable systems

Science Advances


US 2021/0275058 A1

Systems and methods for automated localization of wearable cardiac monitoring systems and sensor position-independent hemodynamic inference


On the assessment of cardiomechanical function via wearable sensing systems


Home: Education

Useful Links

LinkedIn Profile

For a more detailed portfolio, please visit my LinkedIn profile.

Software Portfolio

A sparsely-updated Github profile where I post scripts I've written.


Exploring the nexus of engineering and medicine.

Home: Projects

Let’s Connect

  • LinkedIn

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