Loyola Marymount University is a top-ranked national university by U.S. News and World Report, which places LMU among the top six Jesuit universities in the country and in the top six private universities in California. Founded in 1911, LMU is a Catholic, Jesuit, and Marymount university with more than 7,100 undergraduate students and more than 3,000 graduate and law students. LMU offers 56 undergraduate majors and 56 minor programs, along with 46 master’s degree programs, three doctorate programs and 12 credential/authorization programs. LMU’s intercollegiate athletics teams compete in the West Coast Conference with 14 Division I varsity sports.

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Causal Inference in AI Education: A Primer

Exploiting Causal Structure for Transportability in Online, Multi-Agent Environments

Counterfactual randomization: rescuing experimental studies from obscured confounding

Counterfactual data-fusion for online reinforcement learners

Bandits with unobserved confounders: A causal approach

Can avatars pass the Turning test? Intelligent agent perception in a 3D virtual environment

The distributed self: Virtual worlds and the future of human identity (pp. 22-36)

A Framework for Empirical Counterfactuals, or for All Intents, a Purpose

The Identity Mapping Project: Demographic differences in patterns of distributed identity

Contact 
 Phone: 310.338.3077
 Email: andrew.forney@lmu.edu 
Office: Doolan 201A 

Professor Andrew Forney is a third-generation Lion who completed his B.S. in Computer Science and Psychology at Loyola Marymount University and his M.S. and Ph.D. in Computer Science at UCLA. His research bridges the disciplines of cognitive psychology, artificial intelligence (AI), and experimental design, with an emphasis in causal inference. He is interested in the mechanics of counterfactual reasoning and its applications to human and machine learning, reinforcement, and decision-making for crafting increasingly dynamic and metacognitive agents. His work has been published and presented in the flagship AI conferences (NeurIPS, ICML, AAAI) and Journal of Causal Inference. Professor Forney’s other interests include pedagogical methods for inclusive and engaging undergraduate STEM experiences, and the entanglement of increasingly advanced AI in society. He leads the Applied Cognitive Technologies (ACT) Laboratory at LMU, which provides undergraduates with research and industry experience using state-of-the-art techniques in AI applied to real world problems.

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