Industry Experience (see LinkedIn)

Using generative AI to help patients access care at Assort Health.

Research exp below.

Selected AI Research

AI Publications

ClinicNet: machine learning for personalized clinical order set recommendations
Jonathan X Wang’, Delaney K Sullivan’, Alex C Wells, Jonathan H Chen
JAMIA Open

Neural Networks for Clinical Order Decision Support
JX Wang, DK Sullivan, AJ Wells, AC Wells, JH Chen (equal contributors)
AMIA Summits on Translational Science Proceedings 2019, 315

DeepDoc: Natural Language Processing with Deep Neural Networks for the American Board of Internal Medicine Certification Exam*
Jonathan X Wang’, Britni Chau’, Kinbert Chou’, Jonathan H Chen’

DeepSign: Efficient Siamese Convolutional Neural Networks for Signature Verification*
Jonathan X Wang’, Kevin Ko

Deep Vein Thrombosis Screening with Three-Dimensional Deep Learning on Lower Extremity Computed Tomography Studies*
Jonathan X Wang’, Brianna Kozemzak’, Anoop Manjunath’, Trevor Tsue’, Andre Souffrant, and Lawrence Hoffman

Machine Learning for Automated Classification of Patient Cases*
Jonathan X Wang’, Cole Deisseroth’, James Bai’, Jonathan H Chen’

Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review
Jonathan Xin Wang’, Sulaiman Somani’, Jonathan H Chen, Sara Murray, Urmimala Sarkar
JMIR Res Protoc. Sep 2021.

Utilizing a Novel Unified Healthcare Model to Compare Practice Patterns Between Telemedicine and In-Person Visits
Justin Gregory Norden’, Jonathan X Wang’, Sumbul A. Desai, Lauren Cheung
Digital Health. August 2020.

Healthcare Service Utilization under a New Virtual Primary Care Delivery Model
Lauren Cheung, Tiffany I. Leung, Victoria Y. Ding, Jonathan X. Wang, Justin Norden, Manisha Desai, Robert A. Harrington, and Sumbul Desai
Telemedicine and e-Health, 2018

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students
Oskotsky T, Bajaj R, Burchard J, Cavazos T, Chen I, Connell W, Eaneff S, Grant T, Kanungo I, Lindquist K, Myers-Turnbull D, Naing ZZC, Tang A, Vora B, Wang J, Karim I, Swadling C, Yang J, AI4ALL Student Cohort 2020, Lindstaedt B, Sirota M, Connell WT
PLoS Comput Biol. Jan 2022.


‘ = equal contributors; * = not peer-reviewed

AI Talks

Speaker. State of Orthopedics AI: Transforming Patient Experiences & Operational Efficiency. AAOE 2025 Annual Conference. 5/25.

Speaker. Innovation in Generative AI and Healthcare. Stanford CS 522: Artificial Intelligence in Healthcare. 11/23.

Delaney S, Wang J…Chen J. Neural Networks for Clinical Order Decision Support. 2019 AMIA Informatics Summit.3/19.

Wang J, Kaufman G, Ramos A. Deep Neural Networks and Cluster Analysis for Patient Phenotyping. Apple. 8/18

Wang J, et al. AI-enabled Mobile Optometry. Bay area global health innovation challenge. 5/18.

My Startup Journey. UCSF Launchpad Startup Weekend Keynote. 8/21.

Wang J, Lamisa M, Poon J, Wei X. UVify: A simple, non-disruptive far UV-c light stethoscope sterilization device. 2019 Dreamcatchers MedTech Hackathon. 7/19. [Hong Kong Economic Journal] [SingTao Daily] [Money Talk HK Podcast (32:28-43:20)]

AI Poster Sessions

Wang J, Chau O, Chou K. DeepDoc: Natural Language Processing with Deep Neural Networks for the American Board of Internal Medicine Certification Exam. Stanford Natural Language Processing with Deep Learning Poster Session. 3/19.[Paper] [Poster]

Wang J…Chen J. Automated Clinical Decision Support and Patient Progression Prediction through Deep Neural Networks. Stanford Deep Learning Poster Session. 3/18.

Wang J, Deisseroth C, Bai J, Chen J. Machine Learning for Automated Classification of Patient Cases. 3/19 [Paper][Poster]

Clark D. Wang ; William Zhang ; Jonathan Wang ; Julian C. Hong. Network analysis to characterize chronological relationships in comorbidity trajectories: breast cancer as a case model. 2019 AMIA Informatics Summit. [Poster]

Wang J, Ko K. DeepSign: Efficient Siamese Convolutional Neural Networks for Signature Verification. Convolutional Neural Networks for Visual Recognition. 6/19. [Demo] [Paper] [Poster]

Honors and Awards

Gates-Cambridge Scholar Elect, Gates-Cambridge Trust [Press]

One of 90 students (1% of applicants) internationally elected for Gates-Cambridge scholarship to pursue a PhD in Computer Science. Additionally offered NIH Oxford Cambridge MD-PhD scholarship to cover medical school

J.E. Wallace Sterling Award for Scholastic Achievement, Dean of H&S

Awarded to top 25 students of each year’s graduating class

Phi Beta Kappa

1 of 32 juniors elected for the Phi Beta Kappa nomination at Stanford

President’s Award for Excellence in the Freshman Year, Stanford University Office of the President

Honors the top 3% of undergraduates at Stanford University

2nd Place Individual, Minnesota Mathematics League Championship

2nd Place National Tournament, Science Olympiad

AIME Qualifier, Mathematics Association of America

Publications

ClinicNet: machine learning for personalized clinical order set recommendations
Jonathan X Wang’, Delaney K Sullivan’, Alex C Wells, Jonathan H Chen
JAMIA Open

Neural Networks for Clinical Order Decision Support
JX Wang, DK Sullivan, AJ Wells, AC Wells, JH Chen (equal contributors)
AMIA Summits on Translational Science Proceedings 2019, 315

DeepDoc: Natural Language Processing with Deep Neural Networks for the American Board of Internal Medicine Certification Exam*
Jonathan X Wang’, Britni Chau’, Kinbert Chou’, Jonathan H Chen’

DeepSign: Efficient Siamese Convolutional Neural Networks for Signature Verification*
Jonathan X Wang’, Kevin Ko

Deep Vein Thrombosis Screening with Three-Dimensional Deep Learning on Lower Extremity Computed Tomography Studies*
Jonathan X Wang’, Brianna Kozemzak’, Anoop Manjunath’, Trevor Tsue’, Andre Souffrant, and Lawrence Hoffman

Machine Learning for Automated Classification of Patient Cases*
Jonathan X Wang’, Cole Deisseroth’, James Bai’, Jonathan H Chen’

Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review
Jonathan Xin Wang’, Sulaiman Somani’, Jonathan H Chen, Sara Murray, Urmimala Sarkar
JMIR Res Protoc. Sep 2021.

Utilizing a Novel Unified Healthcare Model to Compare Practice Patterns Between Telemedicine and In-Person Visits
Justin Gregory Norden’, Jonathan X Wang’, Sumbul A. Desai, Lauren Cheung
Digital Health. August 2020.

Healthcare Service Utilization under a New Virtual Primary Care Delivery Model
Lauren Cheung, Tiffany I. Leung, Victoria Y. Ding, Jonathan X. Wang, Justin Norden, Manisha Desai, Robert A. Harrington, and Sumbul Desai
Telemedicine and e-Health, 2018

Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students
Oskotsky T, Bajaj R, Burchard J, Cavazos T, Chen I, Connell W, Eaneff S, Grant T, Kanungo I, Lindquist K, Myers-Turnbull D, Naing ZZC, Tang A, Vora B, Wang J, Karim I, Swadling C, Yang J, AI4ALL Student Cohort 2020, Lindstaedt B, Sirota M, Connell WT
PLoS Comput Biol. Jan 2022.

Effect of Mailed Fecal Immunochemical Test Outreach for Patients Newly Eligible for Colorectal Cancer Screening
Shohei Burns, Jon Wang, & Ma Somsouk
Digestive Diseases and Sciences. Mar 2023.

The Role of Macrophages in Tumor Cell Recurrence Following Radiation Therapy*
Wang, Jonathan X and Graves, Edward and Feldman, Marcus.
Stanford Digital Repository, 2019. (Stanford Undergraduate Honors Thesis)


‘ = equal contributors

  • = not peer-reviewed

Talks

Speaker. State of Orthopedics AI: Transforming Patient Experiences & Operational Efficiency. AAOE 2025 Annual Conference. 5/25.

Speaker. Innovation in Generative AI and Healthcare. Stanford CS 522: Artificial Intelligence in Healthcare. 11/23.

Delaney S, Wang J…Chen J. Neural Networks for Clinical Order Decision Support. 2019 AMIA Informatics Summit.3/19.

Wang J, Kaufman G, Ramos A. Deep Neural Networks and Cluster Analysis for Patient Phenotyping. Apple. 8/18

Wang J, et al. AI-enabled Mobile Optometry. Bay area global health innovation challenge. 5/18.

Panel Speaker. Startup Grind Student Entrepreneurship Conference. 3/22.

My Startup Journey. UCSF Launchpad Startup Weekend Keynote. 8/21.

Wang J, Lamisa M, Poon J, Wei X. UVify: A simple, non-disruptive far UV-c light stethoscope sterilization device. 2019 Dreamcatchers MedTech Hackathon. 7/19. [Hong Kong Economic Journal] [SingTao Daily] [Money Talk HK Podcast (32:28-43:20)]

Sole J, Wang J…Girod S. OR Teams and Communication. Anesthesia Grand Rounds. 8/16.

Wang J, Yonghun K, Periyakoil VJ. Empathy and Patient Care Improvement for Asian Americans. Palliative Medicine, Hospice, and End of Life Care. 12/16.

Poster Sessions

Wang J, Chau O, Chou K. DeepDoc: Natural Language Processing with Deep Neural Networks for the American Board of Internal Medicine Certification Exam. Stanford Natural Language Processing with Deep Learning Poster Session. 3/19.[Paper] [Poster]

Wang J…Chen J. Automated Clinical Decision Support and Patient Progression Prediction through Deep Neural Networks. Stanford Deep Learning Poster Session. 3/18.

Wang J, Deisseroth C, Bai J, Chen J. Machine Learning for Automated Classification of Patient Cases. 3/19 [Paper][Poster]

Clark D. Wang ; William Zhang ; Jonathan Wang ; Julian C. Hong. Network analysis to characterize chronological relationships in comorbidity trajectories: breast cancer as a case model. 2019 AMIA Informatics Summit. [Poster]

Wang J, Ko K. DeepSign: Efficient Siamese Convolutional Neural Networks for Signature Verification. Convolutional Neural Networks for Visual Recognition. 6/19. [Demo] [Paper] [Poster]

Wang J…Graves E. Effects of Tumor Irradiation on Circulating Macrophage Localization. Stanford Bio-X Symposium. 8/17.

Choi S, Grade M, Wang J, Chen J. Automated Electronic Calculator for Management of DKA/HHS. Stanford Resident & Fellow Quality Improvement & Patient Safety Symposium. 5/17.

Projects

UVify: A simple, non-disruptive far UV-c light stethoscope sterilization device [Hong Kong Economic Journal] [SingTao Daily] [Money Talk HK Podcast (32:28-43:20)]

Jonathan X Wang, Mashiat Lamisa, Jasmine Poon, Xuelai Wei, Sik Kwan Chan (equal contributors)
As part of the Dreamcatchers MedTech Hackathon, we shadow physicians in the Hong Kong hospitals and use the BioDesign curriculum to search for problems in patient care. We discover a central issue where physicians were not consistently sterilizing their own stethoscopes, leading to hospital acquired infections. We develop a sterilization device using far UV-c light to automatically sterilize stethoscopes for physicians during their daily routine checkups.

  • 2019 Dreamcatchers MedTech Hackathon Champion

Automated Electronic Calculator for Management of DKA/HHS [Poster]

Sara Choi, Madeline Grade, Jonathan X Wang, Lawrence Cai, Julie Chen
Surveyed 73 staff members to develop DKA software estimated to save $78,000 a year and reduce readmissions by 45%. Currently implemented in Stanford Hospital and integrated into the hospital’s health record system along with educational video.

  • Awarded best poster at Resident & Fellow Quality Improvement & Patient Safety Symposium

Fun

In my free time, I enjoy hiking in the mountains, crushing it at CrossFit, vibing to jazz music, and spending quality time with my family.