Reynol ("Rey") Junco is an American psychologist and education and social media researcher. He is known for his pioneering work on using social technologies in higher education. Rey is also known for his statistics, data science, and analytics skills. He is a former fellow at the Berkman Klein Center for Internet & Society at Harvard University. Biography Reynol Junco was born of Cuban immigrants on September 11, 1971, in Miami, Florida. Junco studied psychology at the University of Florida and graduated with a B.S. degree in 1994. He attended graduate school at the Pennsylvania State University and received a M.S. degree in clinical psychology in 1997 and a D.Ed. degree in counselor education in 2002. Research Junco's prior research has examined the effects of the generational divide in higher education and investigated how various emerging technologies, especially social technologies, can be used to support and engage college students in their academic course work and psychosocial development, and improve the transitioning of first year students from high school to college. Most of his results are based on quantitative methods. Rey has focused his most recent work in the corporate sector on data science techniques, especially prediction and segmentation. He is a leader in the field of data analytics, which he uses to extract actionable insights for companies. Junco was an early pioneer in using data science techniques to analyze large and complex datasets in order to find "signal in the noise." He has worked with companies such as Hydrow focusing on analyzing product usage data to better understand customer behavior. Early work Generational divide In Junco and Mastrodicasa 2007, the first large multi-institution survey of student technology use in the U.S., Junco and his co-author studied various attributes of the Net Generation, especially the traits and behaviors related to their greater familiarity with the new technologies, as compared to previous generations which frequently include their college instructors. Junco and Mastrodicasa also investigated the characteristics of the digital divide, the intra-generational differences with respect to the access to the technologies. They showed, among others, that students with higher incomes are more likely to use computers to conduct research, create projects, and analyze data than students with lower incomes. Junco, Merson and Salter 2010 showed that female gender, Caucasian race and higher income correlate positively with cell-phone ownership, while female gender, African-American race and higher income is positively predictive of the number of