Daniel Mc Cormack, PhD
About Daniel Mc Cormack, PhD
Daniel McCormack, PhD, serves as the Director of Quantitative Research at Encoura, bringing extensive experience in market research and applied data science. He has held significant roles at institutions such as The Holdsworth Center and the University of Pennsylvania, and has expertise in game theory, research design, and statistical programming.
Work at Encoura
Daniel Mc Cormack has been serving as the Director of Quantitative Research at Encoura since 2023. In this role, he oversees quantitative research initiatives, applying his extensive background in applied statistics and research design. His responsibilities include managing complex research projects and ensuring the delivery of actionable insights to support decision-making processes. Mc Cormack's expertise in data science and statistical programming enhances the research capabilities of the organization.
Previous Experience
Before joining Encoura, Daniel Mc Cormack held several significant positions in various organizations. He worked as the Director of Data Science at Morning Consult from 2021 to 2023, where he led data-driven projects. Prior to that, he was a Senior Manager of Research and Evaluation at The Holdsworth Center from 2018 to 2021. His experience also includes a role as Quantitative Insights Team Lead at GLG (Gerson Lehrman Group) from 2017 to 2018 and a Postdoctoral Fellow at the University of Pennsylvania from 2015 to 2017.
Education and Expertise
Daniel Mc Cormack earned his Doctor of Philosophy (Ph.D.) in Political Science and Government from The University of Texas at Austin, where he studied from 2009 to 2015. He also holds a Bachelor’s Degree in Political Science and Government from Oklahoma Christian University, completed from 2006 to 2009. His academic training provides a strong foundation in game theory and research design, complemented by his proficiency in programming languages such as R and Stata.
Research Contributions
Throughout his career, Daniel Mc Cormack has made significant contributions to research in various fields. He has presented his research to diverse audiences, including non-profit leadership groups and international conference attendees. Mc Cormack has also published a book and several articles, showcasing his expertise in applied statistics and data analysis. His work includes developing survey instruments and summarizing research findings into accessible formats for stakeholders.
Skills and Methodologies
Daniel Mc Cormack possesses a strong skill set in applied statistics, including probability theory, regression analysis, hierarchical modeling, and survival analysis. He has experience in automating complex Excel and PowerPoint deliverables using R, enhancing efficiency in research presentations. His ability to pitch research projects and advise on methodological approaches demonstrates his comprehensive understanding of quantitative research methodologies.