
About
Sarah Zelikovitz is an Associate Professor in the Department of Computer Science at the College of Staten Island, CUNY. She specializes in Machine Learning, Data Mining, and Educational Technology, with a focus on integrating research projects into undergraduate curricula. Her work spans interdisciplinary areas such as bioinformatics, health informatics, and robotics education.
Dr. Zelikovitz teaches courses like Data Science, Introduction to Computer Science, and Seminar in Computer Science. She actively contributes to curriculum design, emphasizing project-based learning and computational thinking. Her research explores topics including query classification, tandem repeats in genomic data, and educational assessment tools.
Her articles reflect expertise in algorithms for string processing, algorithm optimization, and predictive analytics in clinical contexts. Recent work includes studies on side-sharing tandems in arrays and depression detection via social media analysis. Despite no listed awards, her contributions to educational technology and interdisciplinary research are notable.
Office Hours: Spring 2025 (Building 1N, Room 212) are Tues/Thurs 12:20–2:20 PM. She advises students on degree requirements using Degree Works and offers virtual meetings via Zoom.
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