Glen is the founder and CEO of Qntfy (pronounced “quantify”), a technology solutions provider bridging data science and human behavior. We make complex psychological and behavioral data accessible, scalable and actionable for individuals and organizations. Qntfy’s mission is to
to scale therapeutic impact by empowering people and their care network with data science and technology. Qntfy brings a deep understanding of the underlying technology and an appreciation for the human processes in the mental healthcare system that these technologies need to fit in for major impact. Qntfy, in addition to providing analytic and software solutions, considers it a core mission to push the fundamental and applied research at the intersection of mental health and technology. Qntfy built the data donation site OurDataHelps.org to gather and curate the datasets needed to drive mental health research, working closely with the suicide prevention community.
Prior to founding Qntfy, Glen was the first full-time research scientist at the Human Language Technology Center of Excellence at Johns Hopkins University where he joined in 2008. His research has focused on the creation and application of statistical pattern recognition techniques to large disparate data sets for addressing challenges in the real world. Glen has shown particular acumen for enabling inference tasks that bring together diverse and noisy data. His work spans from natural language processing, AI, principled exploratory data analysis, anomaly detection, graph theory, statistical inference and visualization.
Glen earned his Bachelors in Computer Science and Cognitive Psychology in 2003, a Masters in Psycholinguistics in 2005, and his Doctorate in Neuroscience in 2008, all from Northeastern University. As this suggests, his interests and knowledge are broad, from computer science and statistics to biology and psychology.
[Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.]
Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.