Daniel Conroy-Beam

Associate Professor Daniel Conroy-Beam at the University of California, Santa Barbara (UCSB), specializes in evolutionary and computational approaches to human mating psychology. He holds a B.S. and Ph.D. from the University of Texas at Austin, joining UCSB in 2016. His lab, the Computational Mate Choice Lab, focuses on agent-based modeling, cross-cultural studies, and real-world couple analysis to explore mate preferences, mating market dynamics, and relationship regulation. Key research interests include how computational models explain mating decisions, the evolution of mate value, and cultural variability in mating strategies. Notable awards include the Harold J. Plous Award (2022) and the Margo Wilson Award (2020). He advises a team of graduate students and has contributed to over 50 peer-reviewed publications. His work bridges evolutionary theory with computational methods, addressing topics like reinforcement learning in mate search and the psychological mechanisms of relationship maintenance.

Education: B.S. and Ph.D. in Psychology from The University of Texas at Austin (specific dates not provided).

• Research Themes: Mating algorithms, cross-cultural mating psychology, computational modeling of mate choice, arranged marriage dynamics, and evolutionary mismatch theory.
• Labs/Teams: Computational Mate Choice Lab (UCSB), collaborating with global researchers on cross-cultural projects.

Awards and Grants: Recipient of prestigious research awards, though specific grant details are not mentioned. His work often involves international collaborations, such as studies in Nepal and Ecuador.

Future Work: Expanding computational models to non-monogamous populations, integrating AI-driven simulations for real-time mating market analysis, and exploring neuroendocrine correlates of mating decisions.