Jerry Cheng
Title: Assistant Professor
Department: Computer Science
Campus: New York City
Areas of Expertise: Data Science, Machine Learning, Statistical Modeling and Analysis
Education Credentials: Ph.D.
Joined New York Tech: 2019
Jerry Cheng is an assistant professor of computer science at NYIT College of Engineering and Computing Sciences. He earned his Ph.D. in statistics from Rutgers University. Before joining New York Tech, Cheng was on the faculty of the Robert Wood Johnson Medical School at Rutgers University. Prior to joining academia, he was a post-doctoral researcher at Columbia University, and he also worked at AT&T Labs.
Cheng's current research interests include big data analytics, artificial intelligence, data mining, statistical modeling, and high-performance computing. The main applications of his work lie in the areas of mobile computing, information security, and healthcare. His research has secured multiple grants from the National Science Foundation and the Army Research Office.
Courses Taught at New York Tech
- DTSC 501: Fundamental Tools for Data Science
- DTSC 615: Topics in Optimization
- DTSC 630: Statistics for Data Science
- DTSC 620: Data Visualization
- DTSC 635: Probability and Stochastic Processes