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Kirita-Rose Escott

Lecturer in Computer Science

School of Engineering and Computer Science

Orcid identifier0000-0001-5574-1023
  • Lecturer in Computer Science
    School of Engineering and Computer Science

BIO

Kirita-Rose Escott (Ngāti Kahungunu, Ngāti Hāmoa) focuses on the use of evolutionary computation and machine learning for dynamic workflow scheduling in cloud computing with a particular focus on the use of genetic programming for scheduling heuristics. She also maintains an interest in other areas of AI, including deep, transfer, and multiagent reinforcement learning.

ACADEMIC POSITIONS

  • Assistant Lecturer
    Victoria University of Wellington, School of Engineering and Computer Science, Wellington, New Zealand14 Jan 2019 - present

NON-ACADEMIC POSITIONS

  • Full Stack Software Developer
    Snapper Services Ltd25 Sep 2017 - 11 Jan 2019

DEGREES

  • BE Software Engineering (First Class Hons)
    Victoria University of Wellington, Wellington, New Zealand2 Mar 2015 - 17 Nov 2018

LANGUAGES

  • English
    Can read, write, speak, understand and peer review
  • Māori
    Can read, write, speak and understand