EDUCATION

PhD, 2000 Mathematics, Courant Institute of Mathematical Sciences, New York University, New York, NY MS, 1997 Mathematics, Courant Institute of Mathematical Sciences, New York University, New York, NY BA, 1995 Mathematics, Computer Science (cum laude), New York University, New York, NY 1994-1995 Electrical Engineering, The Cooper Union for the Advancement of Science and Art, New York, NY

RESEARCH EXPERIENCE

November 2001 to present Scott Assistant Professor University of Utah, Department of Mathematics I am developing models incorporating both physiological and anatomical data. Projects in this regard include the role of spines in the temporal filtering properties of neurons and novel methods for multiple feature selectivity in neuronal networks. As well, I continue to develop the population density method for further application and analytical study. November 2000 to October 2001 Visiting Member International School for Advanced Study, Trieste Italy, Cognitive Neuroscience Sector Engaged in a study the neuronal networks involved in learning and memory. I performed a simulation study of both simplified neuronal networks and realistic neuronal networks utilizing the population density model, in an effort to understand the role of brain area CA1 in learning and memory. February 1998 to October 2000 Doctoral Dissertation Research New York University, Department of Mathematics Thesis Advisor: Daniel Tranchina, Ph.D., Departments of Biology, Mathematics and Neuroscience, New York University Thesis Title: Population Density Methods for Large-Scale Modeling of Neuronal Networks with Realistic Synaptic Kinetics I developed a one-dimensional model for the population dynamics of a neuronal network for an underlying high-dimensional neuronal model. This model allows one to study larger and more realistic neuronal networks of the brain. I used the method to study emergent properties and noise filtering properties of large-scale neuronal networks.

TEACHING EXPERIENCE

PUBLICATIONS

E. Haskell, G.J. Rose, The Influence of Dendritic Spines on Neuronal Integration preprint E.C. Haskell, P.C. Bressloff, On the Formation of Persistent States in Neuronal Network Models of Feature Selectivity Journal of Integrative Neuroscience, 2:103--123, 2003. E. Haskell, D.Q. Nykamp, and D. Tranchina, Population Density Methods for Large-Scale Modeling of Neuronal Networks with Realistic Synaptic Kinetics Neurocomputing, 38:627-632, 2001. E. Haskell, D.Q. Nykamp, and D. Tranchina Population Density Methods for Large-Scale Modeling of Neuronal Networks with Realistic Synaptic Kinetics: Cutting the Dimension Down to Size Network: Computation in Neural Systems, 12:141-174, 2001.

CONFERENCE PRESENTATIONS

August 2003 The Influence of Dendritic Spines on Neuronal Integration. Notre Dame Conference on Partiel Differential Equations and Applications Biocomplexity V: Multiscale Modeling in Biology; South Bend, Indiana. July 2003 The Electrical Properties of Dendritic Spines and the Temporal Filtering Properties of Neurons. Computational Neuroscience Annual Meeting; Alicante, Spain. May 2003 Mesoscopic Neurodynamics: The Transition to a New Equilibrium SIAM Conference on Applications of Dynamical Systems; Snowbird, Utah. July 2002 Dimension Reduction in the Modeling of Large-Scale Neuronal Networks. Computational Neuroscience Annual Meeting; Chicago, Illinois. July 2002 Representations of Multi-Feature Selectivity. Computational Neuroscience Annual Meeting; Chicago, Illinois. November 2001 What is the Role of CA1? Analyses and Simulations. Society For Neuroscience Annual Meeting; San Diego, California. July 2001 Exploring a Role for CA1. Computational Neuroscience Annual Meeting; Monterey, California. November 2000 Population Density Methods For Large-Scale Modeling of Neuronal Networks with Realistic Synaptic Kinetics. Society For Neuroscience Annual Meeting; New Orleans, Louisiana. July 2000 A Population Density Approach that Facilitates Large-Scale Modeling of Neural Networks: Extension to Arbitrary Synaptic Kinetics. Computational Neuroscience Annual Meeting; Brugge, Belgium.

INVITED LECTURES

October 2003 Department of Biomedical Engineering, Johns Hopkins University. March 2003 Graduate Colloquium, Department of Mathematics, University of Utah. May 2002 National Institute of Neurological Disorders and Stroke, National Institutes of Health. December 2001 Math Biology Seminar, Department of Mathematics, University of Utah. April 2001 Physiological Institute, University of Bern. April 2001 Institute of Neuroinformatics, Swiss Federal Institute of Technology, Zurich. February 2001 MANTRA, Ecole Polytechnique Fédérale de Lausanne. November 2000 Cognitive Neuroscience Unit, SISSA. February 2000 Gatsby Computational Neuroscience Unit, University College London. February 2000 Neural Systems Group, University of Newcastle Upon Tyne. January 2000 Applied Mathematics Laboratory, Mount Sinai School of Medicine. December 1999 Center for BioDynamics, Boston University. December 1999 Volen Center for Complex Systems, Brandeis University. December 1999 Brain Cognitive Sciences Department, Massachusetts Institute of Technology. November 1999 Lunchtime working group seminar on biomathematics and biocomputing, Courant Institute of Mathematical Sciences, New York University.