Current location:

 New York, NY

 Contact Nathaniel:

 Phone: 212-998-2104

 E-mail: daw@cns.nyu.edu

 Nathaniel's Links:

 n/a

 n/a

 Twitter

 n/a

  Nathaniel Daw

 Position:

 Associate Professor of Neural Science and Psychology; Affiliated Associate Professor of Computer Science

 Department:

 Center for Neural Science and Department of Psychology; Department of Computer Science

 School:

 College of Arts and Science ; NYU Polytechnic School of Engineering (NYU Poly)

 Institution:

 New York University

 Nathaniel knows about....

  • Quantitative methods in neuroscience
  • Computational neuroscience
  • Machine learning
  • Data analysis
  • how people and animals learn from trial and error (and from rewards and punishments) to make decisions, combining computational, neural, and behavioral perspectives
  • understanding how subjects cope with computationally demanding decision situations, notably choice under uncertainty and in tasks (such as mazes or chess) requiring many decisions to be made sequentially
  • using computational frameworks of reinforcement learning and Bayesian decision theory as a basis for analyzing and understanding biological decision making
  • Computational models in neuroscientific experiments
  • interactions between multiple decision-making systems
  • Learning and neuromodulation

 Bibliography for Nathaniel:

  • http://cds.nyu.edu/people/
  • http://www.cns.nyu.edu/~daw/
  • http://www.cns.nyu.edu/~daw/cv-new.pdf
  • http://www.psych.nyu.edu/daw/
  • http://www.cns.nyu.edu/corefaculty/Daw.php
  • https://scholar.google.com/citations?user=BxlScrEAAAAJ&hl=en
  • http://molbio.princeton.edu/events/archive/event/189-Daw
  • http://computationalpsychiatry.org/nathaniel-daw/
  • https://twitter.com/nathanieldaw
  • http://www.shanghai-neuroeconomics.org/daw-page/

About the project:

ExpertNet is a tool developed by The Governance Lab for matching NYU's cutting-edge interdisciplinary research and applied research methodologies with the demand from external organizations, namely government agencies, to solve public problems.

Created by: