Dr. Sam Kamin & Daniel Donohue

Teaches at NYC Data Science Academy

Dr. Sam Kamin was a tenured professor of Computer Science from the University of Illinois Urbana Champaign for over 30 years, doing research in the areas of programming languages, high performance computing, and educational technology. He is the author or co-author of several books, including a textbook on Java programming. After leaving the U of I, he joined Google in their New York office as Senior Software Engineer in the Tech Infrastructure department, which is the team responsible for the tools used to launch nearly all computations in Google. After gaining intimate knowledge of Google’s cluster, Sam left Google to return to what he loves best – teaching people about computers. Sam leads the data engineering educational programs at NYC Data Science Academy, and supports the consulting practice.

Daniel Donohue (A.B. Mathematics, The University of Chicago, M.S. Mathematics, Oklahoma State University) spent the last several years as a pure mathematics Ph.D. student at the University of Missouri, studying topics in algebraic geometry, but decided that he needed a change in venue and career. Thankfully, he found the compelling world of data science. From his past experiences, he brings with him a voracious appetite for knowledge and learning, and a keen ability to explain difficult concepts in down-to-earth terms. From his more recent experiences, he brings a command of the Python and R programming languages. The combination of these makes Daniel particularly effective as an instructor here at the NYC Data Science Academy.