Curriculum Vitae

Intersecting cardiovascular medicine, machine learning, and clinical data science

Contact Me for Full CV

Education

M.D., Medicine
2014 - 2018
Indiana University School of Medicine, Indianapolis, IN
M.S., Bioinformatics (Honors)
2012 - 2014
Indiana University, Indianapolis, IN
B.A., Computer Science (Honors)
2008 - 2012
Bucknell University, Lewisburg, PA

Professional Experience

Founder, Claripulse
Present
claripulse.com

Building a post-market surveillance platform for medical devices, applying AI to monitor device safety and performance signals across real-world data sources.

Founder & CEO, ReCODE Medical
2024 - 2026
www.recodemedical.com

Founded and led a healthcare technology company providing AI-powered medical procedure coding, improving accuracy and operational efficiency for healthcare providers. Acquired in March 2026.

Cardiac Electrophysiology Fellow
2024 - 2026
Texas Heart Institute, Houston, TX
Cardiology Fellow
2021 - 2024
Texas Heart Institute, Houston, TX
Internal Medicine Resident
2018 - 2021
UT Southwestern Medical Center, Dallas, TX

Selected Publications

"Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score"
2019
Diabetes Care
"Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multi-Cohort Analysis"
2021
Circulation
"Using Machine Learning-based Models with Social Determinants of Health to Predict In-Hospital Mortality in Heart Failure"
2022
JAMA Cardiology
"A Validated Phenomapping Tool and Clinical Score to Identify Low Diuretic Efficiency in Acute Decompensated Heart Failure"
2023
JACC: Heart Failure
"Optimal Screening for Predicting and Preventing the Risk of Heart Failure among Adults with Diabetes without Cardiovascular Disease"
2023
Circulation

Total of over 90 publications with over 3,200 citations (h-index: 29, i10-index: 48). For a complete list, please visit my Google Scholar profile.

Technical Skills & Certifications

Python R Machine Learning Deep Learning SQL Epic EHR AWS Databricks Statistical Analysis Clinical Data Science Phenomapping Predictive Modeling

Epic EHR Certifications: Cogito Fundamentals, Caboodle Data Model, Notecraft for Physician Builders, Physician Builder: Analytics, Extension-Based Cognitive Computing, Registries-Based Cognitive Computing

Cloud/Data Certifications: AWS Cloud Practitioner, Databricks Lakehouse Fundamentals

Awards & Honors

Clinical Cardiology Early Career Research Award Winner
2022
American Heart Association (AHA)
Heart Failure Challenge, Grand Prize Winner
2021
American Heart Association (AHA)
Big Data Analysis Challenge in Heart Failure, Award Winner
2020
National Institutes of Health (NIH)
WATCH-DM Trademark
2022
Intellectual Property
Olympic Trials Qualifier, 200M freestyle
2012
USA Swimming

Grant Support

Machine Learning-based Models with SDOH to Improve Incident AF Prediction
2023-2024
American Heart Association, $50,000

Project Lead

The Texas Heart Institute Relational Database and Warehouse for Cardiovascular Disease (THIRDbase)
2023-2024
The Cullen Trust for Healthcare, $250,000

Co-Principal Investigator

Professional Memberships

American Heart Association (AHA) American College of Cardiology (ACC) Heart Rhythm Society (HRS)