Summary
Asuman Celik is a Ph.D. student and research-focused data scientist with nine years of experience at the intersection of health and AI, currently based in Hoboken, New Jersey. She blends academic rigor and practical teaching as a Graduate Teaching Fellow at Rowan University and an instructor in machine learning and AI, mentoring learners from undergraduate to graduate levels. Her research and internships—including work on Alzheimer's biomarker discovery and translational data science at Genmab—highlight a strong track record in biomedical informatics and applied ML for health. Asuman has held research roles at leading institutions (Stevens Institute, Cleveland Clinic, Cincinnati Children’s) and brings hands-on experience turning clinical data into actionable models. She combines deep domain knowledge with classroom experience, making her adept at communicating complex AI concepts to diverse audiences. A subtle strength is her sustained commitment to education alongside research, evidencing both technical depth and a talent for teaching.
9 years of coding experience
3 years of employment as a software developer
Master's Degree, Biomedical Informatics and Information Technology, Master's Degree, Biomedical Informatics and Information Technology at University of Cincinnati
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at North American University
Doctor of Philosophy, Data Science, Doctor of Philosophy, Data Science at Rowan University
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at Stevens Institute of Technology
English, Turkish, German