Matt S.

I'm a board-certified cardiologist with a computer science background who bridges the gap between clinical medicine and healthcare technology. I specialize in developing and implementing machine learning solutions for healthcare challenges, particularly in risk prediction and clinical decision support. I help healthcare technology companies: - Design clinically relevant and technically feasible healthcare products - Develop and validate clinical algorithms and prediction models - Optimize clinical workflows and EHR integration - Navigate the regulatory and implementation challenges unique to healthcare My technical expertise includes: - Development of clinical prediction models using machine learning (Python, R) - Healthcare API development (FastAPI, Flask) - Database architecture for clinical data (SQL) - Cloud deployment (AWS, Azure, Heroku) - Epic Systems EHR integration and optimization (Certified in Inpatient, Cogito, Caboodle, Cloud Computing) I've published 100+ peer-reviewed articles and developed several clinical risk models now used in healthcare systems. Notable achievements include the WATCH-DM risk score for predicting heart failure in diabetic patients and machine learning models for identifying low diuretic efficiency in heart failure. My dual expertise allows me to translate between clinical needs and technical solutions, ensuring healthcare technology products deliver real clinical value while maintaining technical excellence. I joined Upwork in order to help people/students join the medical field, grow and improve research or business ideas, and to be exposed to additional medical technology ideas that motivate me. Depending on the scope and duration of a project, my engagements and rates change.