About

Brian Hurley is a highly skilled Data Scientist and Machine Learning Engineer currently working at Apple. With over 5 years of relevant experience, his expertise lies in ML, data science, research science, infrastructure, and NLP. Brian's past experience includes working as a People Scientist at Humu, where he established novel procedures for assessing the impact of Humu's product on companies' business outcomes using causal inference, time series analysis, and predictive modeling. He also analyzed user-product interactions to better understand product usage patterns and inform product enhancements. Brian developed content for Humu's nudges by leveraging insights from behavioral science and communicated quantitative results to stakeholders as practical insights and recommendations. He collaborated across sections of Humu to help drive strategic decisions related to analytics, data infrastructure, and product development. Brian has also worked as a People Research Scientist at Facebook, where he built an NLP system to extract topics from free-text survey comments, developed a comprehensive suite of analytics for Facebook's Internal Communications team, and conducted analyses to understand the impact of commutes on employee attrition, influencing housing and transportation decisions. He collaborated with key partners from Compensation, Global Mobility, Operations Research, Facilities, and Internal Communications to optimize the business impact of analyses. Brian distilled rigorous quantitative analytics into practical implications/recommendations for stakeholders. Brian holds a Doctor of Philosophy (Ph.D.) in Psychology from the University of California, Davis, a Master of Arts (M.A.) in Psychology from the same institution, and a Bachelor's Degree in Psychology from the University of Texas at Dallas. With his exceptional skills in data science, machine learning, and research, Brian is a valuable asset to any organization he works with.