Frank Wang has a Ph.D. in physics. He has over a decade of experience in modeling and scientific computing and had access to the large supercomputer NERSC as a Staff Scientist at SLAC National Accelerator Laboratory. He participated in several national/international projects in Japan and US and has authored dozens of scientific papers, including those requiring large scale parallel computation code. Transferring his computational skills to data science was a next natural step for Frank. He has strong interests in machine learning, data mining, developing algorithms and big data technologies. He believes data science can largely advance our life and improve businesses in an efficient way. Frank enjoys hiking, running, swimming, and basketball at his spare time.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
