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Associate Professor Andrew James Fowlie

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20122025

Research activity per year

Personal profile

Personal profile

I'm interested in the particle physics, particularly theories beyond the Standard Model, including dark matter and solutions to the hierarchy problem. My work often involves developing or applying new statistical methods to test theories against data.

I'm a member of

Research interests

  • Physics beyond the Standard Model
  • Naturalness
  • Dark Matter
  • Statistics and statistical computation
  • Gravitational waves

Experience

  • Assistant Professor – XJTLU – 2023 to Present
  • Associate Professor – NJNU – 2018 to 2022
  • Post-doctoral Researcher – Monash University – 2015 to 2018
  • Post-doctoral Researcher – KBFI – 2014 to 2015

Teaching

  • PHY002 - AY22/23 & 24/25
  • MTH101 - AY22/23 & 24/25

Awards and honours

Principal Investigator

  • NSFC Resarch Fund for International Young Scientists (RFIS-I), 2020 -2022: Discovering dark matter with Bayesian and frequentist statistics
  • NSFC Resarch Fund for International Excellent Young Scientists (RFIS-II), 2025 - 2027: Percolation of first-order cosmological phase-transitions

Co-investigator

  • ARC Discovery Project, 2021 - 2024: Electroweak phase transition: A cosmological window to new particle physics
  • NSFC General Program, 2023 - 2026: Research on dark matter particles and related new physical phenomenology

Related documents

Education/Academic qualification

PhD, University of Sheffield – 2013

MPhys, Univesity of Durham – 2009

Keywords

  • QC Physics
  • particle physics
  • physics beyond the Standard Model
  • fine-tuning
  • Q Science (General)
  • data science
  • statistics
  • QA76 Computer software
  • simulation
  • statistical computation
  • global fitting

Person Types

  • Staff

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