Joseph Roy has over 15 years of data science and higher education expertise. He is the Chief Data & Technology Officer at the American Society for Engineering Education (ASEE). He currently directs three national annual data collections at the ASEE of colleges of engineering and engineering technology that gather detailed enrollment, degrees awarded, research expenditures, faculty headcounts, faculty salary and retention data for the engineering community. He is PI of a NSF Advanced Technological Education funded grant to build a national data collection for engineering-oriented technician degree and certificate programs at 2-year institutions. Prior to joining the ASEE, he was the senior researcher at the American Association of University Professor and directed their national Faculty Salary Survey. He also developed a technical curriculum to train analysts for a national survey of languages in Ecuador while he was at the University of Illinois as a linguistic data analytics manager and member of their graduate faculty. He has a B.S. in Computer Science & Mathematics, a M.S. in Statistics from the University of Texas at San Antonio and a Ph.D. in Linguistics from the University of Ottawa.
Angela Erdiaw-Kwasie, Data Scientist
Angela Erdiaw-Kwasie is a data scientist and analyst who holds a M.S. in Statistics & Data Science from American University and a bachelor’s degree in Actuarial Science from KNUST, Ghana. Prior to joining the ASEE, she worked as a data analyst on different projects for health, education, population and insurance research. She has expertise in data wrangling, data visualization and machine learning algorithms. Angela has broad experience using statistical programming languages, such as R, STATA, SPSS and KNIME and has created a number of interactive dashboards, including for the Engineering Deans Gender Equity Initiative and ASEE Institutional and Individual Membership demographics.