Phil Enock has over 8 years of analytics experience spanning industry and academia. In 2015, he completed his PhD in Experimental Psychological Science at Harvard where, as part of his research, he directed a quantitative research program of web-based and mobile app experiments that ultimately collected over 3 million responses. Prior to joining Enplus at the start of 2017, he worked as a data scientist at Wayfair, applying machine learning to e-commerce pricing and cost modeling, and at the Democratic National Committee on probabilistic machine learning models and big data pipeline development. He holds a B.A in Computer Science from Williams College and has enjoyed writing code since age 12.
- Enock, P. M. (2015). Making an IMPACT: Designing and Testing a Novel Attentional Training Game to Reduce Social Anxiety. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences.
- Enock, P. M., Hofmann, S. G., & McNally, R. J. (2014). Attention Bias Modification Training via Smartphone to Reduce Social Anxiety: A Randomized, Controlled Multi-Session Experiment. Cognitive Therapy and Research.
- Enock, P. M., & McNally, R. J. (2013). How Mobile Apps and Other Web-based Interventions Can Transform Psychological Treatment and the Treatment Development Cycle. The Behavior Therapist.
- Business Applications Workshop: Big Data panel, Harvard Graduate School of Arts & Sciences, January 2016
- "Cool Kids’ Club Theory: On being a ‘Good Fit’ for all kinds of data science teams", Insight Health Data Science, Boston, February 2016.
- Fellows training workshop, Insight Data Science, New York, February 2017