Summary
Reza Sadeghi is a machine-learning-focused researcher and instructor with a PhD in Computer Science and eight years of experience applying probabilistic graphical models, signal processing, and soft computing to healthcare, learning analytics, and web domains. He balances academic roles—now Assistant Professor at Marist College—with leadership as Director of Public Opinion Analytics at the Marist Institute, bringing research-grade methods to public opinion and survey analytics. His background includes clinical sleep research at Brigham and Women's/Harvard Medical School and extensive work on vital-sign analysis and mortality/readmission prediction from wearable and polysomnography data. Known for translating complex models into practical teaching and applied projects, he blends classroom experience across multiple universities with hands-on research from graduate work through hospital collaborations. Based in Poughkeepsie, NY, he maintains an active portfolio and homepage demonstrating reproducible research and tool development in healthcare analytics.
8 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at Imam Reza International University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Wright State University
Bachelor of Science (BS) Computer Software Engineering, Bachelor of Science (BS) Computer Software Engineering at Isfahan University of Technology
English language, English language at Iran Language Institute (ILI)
English, Persian