Education

M.S. in Neural Computation | Carnegie Mellon University

Graduation: May 2015

  • This program focused on statistical and mathematical modelling techniques with background course in basic Neuroscience.
  • This was a joint Program with the University of Pittsburgh.
  • Performed Research under Bard Ermentrout (Math Department, Univeristy of Pittsburgh)

Select Courses: Introduction to Machine Learning · Intermediate Statistics · Statistical Machine Learning · Mathematical Neuroscience · Computational Neuroscience · Statistical Models of the Brain · Systems Neuroscience · Cellular Neuroscience · Cognitive Neuroscience ·

B.S. in Physics | Pennsylvania State University

Graduation: August 2009

  • Minor in Math
  • Schreyer’s Honors Scholar with thesis: The Effect of Noise in Neural Networks
  • Thesis Adviser: Dezhe Jin

Select Courses: Differential Equations · Advanced Calculus · Statistical Mechanics · Classical Dynamics · Introduction to Probability · Introduction to Electrodynamics ·