We work in four main areas:

  • Modeling human decision making
    • optimization problems (bandit problems, optimal stopping problems, ..) that involve making sequences of decisions under uncertainty in structured environments
    • strategies in decision making, with a focus on environment structure, adaptive strategy use, and individual differences
  • Collective cognition and the wisdom of the crowd
    • using cognitive models to improve wisdom of the crowd performance
    • using cognitive models to extend the types of behavioral data that can be combined across a crowd of people
  • Modeling memory with clinical applications
    • applying models of memory and knowledge representation to detect and understand changes caused by aging and impairment, using real-world clinical data
  • Bayesian statistical methods
    • using graphical models and computational Bayesian methods to┬áimprove the development, evaluation and application of cognitive models

Key Collaborators

E.-J. Wagenmakers, University of Amsterdam
Ben Newell, University of New South Wales
Kevin Gluck, US Air Force Research Laboratory
Bouzas lab, National Autonomous University of Mexico

Current Graduate Students

Holly Westfall, 2nd year
Manuel Villareal, 1st year
Lauren Montgomery, 1st year
Nidhi Banavar (with Aaron Bornstein)
Jeff Coon (with Barbara Sarnecka)
Bobby Thomas (with Barbara Sarnecka)

Current Undergraduate Students

Karyssa Courey
Michelle Ke
Juliana Chhouk
Ibrahim Takesh

Former Graduate Students

Maime (Hongyang) Guan, now data scientist at Apple
Percy Mistry, now post-doc at Stanford
Irina Danileiko, now data analyst at Wizards of the Coast
Profile Image James Pooley, now at Success Academy Charter Schools
Shunan Zhang, now at Apple
Matt Zeigenfuse, now at Swiss Re
Matt Dry, now at the University of Adelaide
Mark Mackay, now at the University of South Australia
Danielle Navarro, now at the University of New South Wales

Former Undergraduate Students

Stephanie Doering
Matt Tillis
Isaiah Cushman