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Rachel Newton

Doctoral student
Electrical & Computer Engineering
Anticipated Graduation: May 2025
[email protected]

Rachel Newton

Research

Research Area: Signal & Image Processing and Machine Learning
Co-Advisors: Prof. Laura Balzano and Prof. Peter Seiler

Research Project: Newton’s research lies in machine learning for control systems. She is focusing on the problem of nonconvex optimization in relation to reduced-order modeling for large-scale systems, and specifically to cooperative wind farm control.

Education

  • B.S.E. Electrical Engineering at Arizona State University
  • B.S. Computational Mathematical Sciences at Arizona State University

Clubs/Organizations

  • GradSWE
  • BuddEEs Mentoring Program
  • University Band

Hobbies

  • Hiking
  • Video games
  • Learning new languages
  • Traveling
  • Playing French Horn

Rachel says

“I appreciate how supportive the university is as a whole. Everyone from my peers, the faculty, and the administrative staff are all very friendly and encouraging as you endeavor to figure out your path forward.”