BIO

Robert Moakler is a quantitative researcher at Meta where he works on projects related to privacy, causal inference methodologies, and the impact of cross-channel marketing campaigns.

He received his Ph.D. in Information Systems from the NYU Stern School of Business in 2017. While attending NYU, Robert worked at Integral Ad Science where he did applied data science research that developed methods for causal inference using large-scale digital data with a focus on advertising.