Data Science Capstone

Bruce Huang is a scholar and practitioner in the field of computer science. As a practitioner, Huang developed and brought to life numerous software products at IBM and at his technology startups to enable enterprises to test, analyze, and manage the performance and scalability of their mission-critical infrastructure and applications. He was a managing partner and practice executive at IBM Global Services and a venture-capital backed technology and education entrepreneur. Huang is director of the master's degree program in information technology at Harvard Extension School. Other academic appointments have included lecturer at the University of California, Los Angeles (UCLA) School of Engineering, computer science department; UCLA Extension academic department director; visiting lecturer at Cornell University's Cornell Tech campus; and adjunct associate professor at the University of Maryland. His research interests include big data analytics and software testing. Huang received an EdD in innovation and leadership from New York University, MBA from the Massachusetts Institute of Technology's Sloan School of Management, an MRes from the University of Liverpool, a PhD in applied computer science from Northcentral University, and a BS in computer science from the University of Texas.

Stephen Elston is a data scientist, machine learning engineer, and AI engineer with several decades of experience. He is a company founder and has served in several senior management and board positions. He provides data science and machine learning consulting to companies from global enterprises to startups. Clients include Microsoft, SAP, Sybase, Thompson Reuters, and global banks. Elston is an instructor and creator of machine learning, artificial intelligence, and data science courses for Harvard Extension School, the University of Washington, and EdX. Previously, he was a cofounder of FinAnalytica, which creates market and credit risk systems with unprecedented accuracy for global banks, asset managers, major pension funds, and large multi-strategy hedge funds. He led the team which commercialized the AT&T Bell Labs version of the S language, S-PLUS, the language on which R is based. He is the author of several machine learning books and articles and a frequent speaker. Elston holds a PhD and Masters degrees in Geological and Geophysical Sciences from Princeton University, where he held a John von Neuman Super Computing Fellowship. He has a BS in Physics from the University of New Mexico.