Experience

Mrs Wordsmith

• United Kingdom
• E-Learning Providers
• 1 - 100 Employee

• Data Scientist

  • Jul 2023 - Present

  Video game analytics Video game analytics



Neurons

• Denmark
• Technology, Information and Internet
• 1 - 100 Employee

• Data Engineer

  • Mar 2022 - Dec 2022

  I make Rube Goldberg machines out of code

• Data Scientist

  • Mar 2022 - Dec 2022

  Methodology for data science and analytics team



Newcastle University

• United Kingdom
• Higher Education
• 700 & Above Employee

• Scientific Researcher

  • Dec 2020 - Feb 2022



La Trobe University

• Australia
• Higher Education
• 700 & Above Employee

• Statistical meta-research doctoral student

  • Oct 2015 - Dec 2020

  I critically examine the theoretical research pipeline from development of new mathematics to deployment for the end user. Many best-practice methods of scientific reproducibility have additional benefits for collaboration, open science, and communication. I love to study how to make science better.

• Sessional lecturer and demonstrator

  • Jul 2015 - Sep 2019

  Subject lecturer: linear models (3rd year), graph theory (3rd year), linear algebra (2nd), linear programming (2nd).Guest lecturer: BMedSci University of Melbourne.Demonstrator: probability models (2nd year), statistics for life sciences (2nd year), abstract algebra (2nd year), meta-analysis.

• Honours student

  • Feb 2014 - Jun 2015

• AMSI Vacation Research Scholar

  • Nov 2013 - Mar 2014



University of Melbourne

• Australia
• Higher Education
• 700 & Above Employee

• Research Assistant, Reproducibility Team, repliCATS project, Interdisciplinary Metaresearch Group

  • Sep 2019 - Oct 2020



Independent Contractor, Financial Analysis, Financial Modeling

• Melbourne, Australia

• Statistical data scientist contractor in cyber and forensics at PwC

  • Dec 2017 - Mar 2018

  I wanted to use statistical modelling, machine learning, and data science techniques to answer questions in data forensics. I was meant to build an xgboost model, as well as spearheading a pet project: onboarding the team to a GitHub-integrated reproducible analytics workflow. But mostly I did devops. I wanted to use statistical modelling, machine learning, and data science techniques to answer questions in data forensics. I was meant to build an xgboost model, as well as spearheading a pet project: onboarding the team to a GitHub-integrated reproducible analytics workflow. But mostly I did devops.



Charles Gray Piano

• Melbourne, Victoria, Australia

• Piano teacher and accompanist

  • Jan 1997 - Mar 2016

  I ran a private music studio, where I taught music. I worked extensively as a piano accompanist, mostly at the Australian Music Examinations Board, Victorian College of the Arts, and Monash University. I worked as a gamelan player for Music Viva and freelanced as a composer and orchestrator. After almost 20 years, it was time for something new, so I left music behind to reskill in mathematics. I ran a private music studio, where I taught music. I worked extensively as a piano accompanist, mostly at the Australian Music Examinations Board, Victorian College of the Arts, and Monash University. I worked as a gamelan player for Music Viva and freelanced as a composer and orchestrator. After almost 20 years, it was time for something new, so I left music behind to reskill in mathematics.



WEHI (Walter and Eliza Hall Institute of Medical Research)

• Australia
• Research
• 700 & Above Employee

• Undergraduate Research Opportunity Program

  • Jul 2012 - Oct 2013

  Subgroup analysis of high-throughput chemical screening data. Bioinformatics in pipeline pilot and R. Required aggregation of hundreds of thousands of cell assays for cancer drug development. Wet lab scientists applied a firefly extraction to cell plates and applied different interventions. If cells lived, they would glow which could be read by high-through chemical screening robots. My job was to analyse the output of the robots' screening. Cleaning, application of linear regression models, extraction, and summary of parameters. In particular, for my research project, we investigated methodological issues, such as if plate effects (such as the edge being measured differently than centre) have a significant impact on measurements. In this case, plate effects did not have a significant impact on results, which isn't necessarily sexy, but I enjoy this type of methodological worth; confirming we can trust the results output by models, especially at scale. Show less