Resume

Profile

A qualified, experienced, passionate research specialist and data scientist with vast machine learning expertise that can easily translate into required environments. Utilising data science, strategy and analytics, I can shape complex data into measurable outcomes and solutions that deliver across all levels.

I have been fortunate to spend the last 15 years working at a world-renowned laboratory as an integral member and team leader of the ATLAS experiment, the largest general-purpose particle detector experiment at CERN In Switzerland. These experiences have equipped me with high-level data and statistical analysis capabilities along with project management experience, which was vital to the ongoing advancements of the experiment.

My success is underpinned by a Ph.D. in Particle Physics, where my passion for data and exploration and invention began. Furthermore, working cross-functionally, I value meaningful consultation, providing expert advice and support to enhance capabilities to achieve common goals while inspiring a shared sense of purpose and direction.

Committed to accelerating advancements through cutting-edge digital transformations, data and science, I am motivated to deliver holistic and creative thinking that profoundly changes our future.

Key Assets

  • PhD qualified Research Scientist with extensive experience creating, leading and contributing to particle physics experiments in world-class laboratories.
  • Able to provide analytical advice, method reviews and audits of complex data and translate them into actionable outcomes for stakeholders.
  • Expert in creating and managing massive amounts of data, with a deep understanding of the importance of data quality to produce accurate and timely results.
  • Innate ability to develop new concepts, systems, and components to ensure the ongoing development and future of programs.
  • Technically competent across C++, Python, SQL, Linux, macOS, Windows, Algorithmic Design and optimisation, Pattern Recognition and Machine Learning (LightBGM, PyTorch).

Key Projects

H→γγ and H→llγ 2016-2022

Study of the Higgs boson and its rare decays providing sensitivity to physics beyond the Standard Model.

Related papers

Track Reconstruction 2010-2022

Pattern recognition, regression and optimisation to increase data throughput by a factor of 2. Improved track reconstructions for electrons and in dense environments with efficiency increased by 10% and no change in false positives. Subsequently trained up a team to further improve over through put by a factor 3 with only a 1% drop in efficiency.

Related papers

ATLAS Run 2 Minimum Bias Taskforce 2014-2016

Coordinated the group responsible for the first measurements of charged particle multiplicities in √s=13 TeV pp collisions at ATLAS, which was vital for all subsequent measurements.

Related papers

Electron Reconstruction 2008-2022

Designed and implemented electron reconstruction chain to increase sensitivity to the Higgs boson (30% increase in efficiency in H→4e) as well specialisations for other analyses.

Related papers

Inner Detector Alignment 2006-2015

Developed the software framework critical to the performance of tracking and vertexing of the ATLAS central tracking system.

Related papers

Professional Experience

Staff Research Scientist 2017-2022

CERN, Geneva, Switzerland

CERN is a genuine collaboration between countries, universities and scientists committed to sharing and creating knowledge to help uncover what the universe is made of and how it works.

ATLAS is a general-purpose particle physics experiment designed to exploit the full potential of the Large Hadron Collider while pushing the frontiers of scientific knowledge. It is one of the most significant collaborative efforts ever attempted in science, with over 3,500 people collaborating to understand the fundamental forces of nature.

I took the lead role in particle physics experiments, coordinating and attributing valuable studies vital to the ongoing research and development work. Managing the work of over 100 scientists, I developed clear research objectives, acting as the focal point for all involved to empower and enable collaborators to undertake comprehensive research.

Additionally, I was responsible for the team measuring the trajectory of particles and collisions.

Achievements

  • Developed an analysis utilising machine learning techniques to search for a unique decay of the Higgs boson particle following a 30-year search for the discovery.
  • Led the team that provided a key piece of data with high reliability, vital to the experiment's success.
  • Recruited and trained a team of physicists to continue to develop the track reconstruction software, rulting in software running three times faster
  • Took projects from concept design and implementation to writing and publishing first papers on measurement.
  • Developed event reconstruction methods for various unique signatures that were previously inaccessible.

Post Doctoral Research Associate 2015-2017

The University of Sydney, Sydney, Australia

With responsibility for up to 50 scientists, I developed a coherent research program to quickly upskill students and post-doctorates to enable them to perform research independently.

Working closely with colleagues, I conducted extensive research to contribute to the future development and operation of the experiment, identifying areas of weakness in the research program and creating viable solutions.

Achievements

  • Led a team of 50 to provide the first measurement at the LHC at 13 TeV within three months of collecting the data.
  • Developed new methods for measuring the efficiency of particles and reinvigorated measurements into an underappreciated Higgs boson and unique physics signature.

Post Doctoral Research Fellow 2013-2015

KTH Royal Institute of Technology, Stockholm, Sweden

Achievements

  • Led the team responsible for offline track and vertex reconstruction.
  • Prepared the software stack for the second run on LHC, accommodating changes to the detector to provide 2x quicker results than the previous iteration.
  • Used neural networks to help improve the reconstruction.

Marie Curie Fellow 2010-2013

CERN, Geneva, Switzerland

Achievements

  • Led the development of a software framework and strategy to align the detector and deploy it on live data.
  • Rewrote the electron reconstruction to improve efficiency and increase sensitivity for low-energy electrons, which proved vital for the timely discovery of the Higgs boson.

Eductation

PhD in Particle Physics, University of Melbourne 2011

Thesis: Electron Bremsstrahlung Studies and Track-Based Alignment of the ATLAS Detector

Bachelor of Science Honours, University of Melbourne 2007

Engineering (Chemical) & Bachelor of Science (Physics), University of Melbourne 2007

Awards

  • ATLAS Outstanding Achievement Awards, 2015
  • Melbourne Honours Scholarship, 2005, University of Melbourne
  • Deans Honours List - The Faculty of Engineering, 2003, University of Melbourne.
  • E.M. and J.F. Ward Prize for Experimental Physics, 2002, University of Melbourne.