Dr. Cymra Haskell

Professor

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Biography

Cymra Haskell is a Professor of Mathematics at USC Dornsife. He obtained his Ph.D. in Mathematics from Stanford University in September 1992, following an M.S. in Mathematics from the same institution in 1988, and a B.S. in Mathematics from Imperial College of Science and Technology in 1985. His research focuses on stochastic processes and dynamical systems, with specific interest in the Stochastic Beverton-Holt Equation and K-systems. Haskell has published several articles in reputable journals. His work has contributed significantly to the understanding of nonuniformly hyperbolic systems in the context of ergodic theory. Haskell is also recognized for his involvement in academic initiatives related to teaching and academic culture. He has been the recipient of the Teaching Has Boundaries Award during the 2005-2006 academic year, reflecting his commitment to excellence in teaching and pedagogy.

Research Interests

Experience

Professor

2006-01-01 — Present

University of Southern California Dornsife College of Letters, Arts and Sciences • Los Angeles, CA

Teaches undergraduate and graduate courses in Mathematics and conducts research in stochastic processes and dynamical systems.

Awards

#

Teaching Has Boundaries Award

2006-01-01

Requirements for University of Southern California Dornsife College of Letters, Arts and Sciences

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
Prerequisites
Undergraduate major in biological sciences or 6 bioscience courses in molecular, cellular, genetics, and biochemistry
Application Checklist
  • Online application
  • Statement of Purpose
  • Resume/CV
  • 3 Letters of Recommendation
  • Transcripts
Specialization Notes

Includes PhD in Molecular Biology, Marine Biology and Biological Oceanography, and Computational Biology and Bioinformatics.