Master of Science (with Distinction)
The University of Melbourne
Specialisation | Statistics & Stochastic Processes |
Minor | Pure Mathematics |
Supervisor | |
Thesis | |
Grade | First Class Honours |
My primary research interest is in improving public discourse, as well as figuring out the extent to which this is important. Subsidiary areas of interest include: argument mining; Hawkes processes; information cascades; computational social choice; deliberative democracy; improving institutional decision-making. My background is in probability and statistics.
The University of Melbourne
Specialisation | Statistics & Stochastic Processes |
Minor | Pure Mathematics |
Supervisor | |
Thesis | |
Grade | First Class Honours |
Australian Mathematical Sciences Institute
Completed two honours-level subjects.
The University of Melbourne
Major | Mathematics & Statistics |
Specialisation | Statistics & Stochastic Processes |
Grade | First Class Honours |
The University of Melbourne
St Leonard's College
Grade | 43/45 (equivalent to notional ATAR of 99.60) |
Mathematics & Statistics School Tutor
2019, 2020 | |
2020 | |
2020 | Psychological Science: Theory & Practice (guest seminars) |
Student Study Assistant
Academic tutoring and library support for students after school, on weekends and during school holidays.
Private Academic Tutor
Mainly in Mathematics, Physics and Economics. Students ranged from high school to university postgraduate level. Over 300 hours of tutoring experience.
Research Associate (Machine Learning & Statistics)
Machine learning and other research as part of a group working to improve the quality of reasoning in intelligence organisations.
Built Navigator, a prototype application that uses argument mining to augment analysts’ abilities to extract insight from large document corpora.
Co-facilitated the collaboration of over 100 Australian academics that led to the Roadmap to Recovery report, advising the National Cabinet on strategies for COVID-19 pandemic recovery.
Helped run the 2020 Hunt Challenge, a study that demonstrated that crowdsourced teams can produce analysis of comparable quality to that of professional intelligence analysts.
Helped conduct a major Delphi method expert elicitation on the nature of analytic rigour in intelligence analysis, along with its contributing factors and opportunities for improvement.
Conducted research in accordance with open science principles, pre-registering studies (1, 2) and sharing data.
Data Scientist
Developing novel statistical methods, reporting infrastructure and interactive graphs (in d3.js) to enable stakeholders to extract value from a perennial survey measuring resilience and mental health in Australian school students.
International Evaluator & Future Scene Writer
Evaluating written competition booklets and writing Future Scenes at state, national & international levels.
Research Assistant
Used D3.js to visualise phase space in protein crystallisation. Originally 6-month appointment through the Undergraduate Research Opportunities Program (UROP), with several stints of follow-up work.
Research Assistant
Worked with A/Prof. Tony Wirth and Dr James Saunderson in the Department of Computing and Information Systems on algorithms for the finding of densest subgraphs.
Stochastic Modelling
Fixed-term Summer project, stochastically modelling mortalities for a new retirement income product, LifetimePlus.
Research & Computational Support
Building an accessible online tool for performing stratified random selection.
Moderniser of Evaluator Resources
Provided technical advice on the adoption/creation of an electronic evaluation platform. Previously, I rewrote the Evaluator Handbook.
Director
Videographer
Produced three short videos to help explain and promote the work of the team from The University of Melbourne entering the International Genetically Engineered Machine competition.
Peer Support Leader
SCOPE Leader
Mentored an overly reserved grade three student.
The University of Melbourne
The University of Melbourne
Biomedical Research Victoria
The University of Melbourne
Future Problem Solving Program Australia
The University of Melbourne
The University of Melbourne
St Leonard's College
St Leonard's College
St Leonard's College
St Leonard's College
Future Problem Solving Program Australia
Artificial Intelligence for Decision Making Initiative
Sponsor | Office of National Intelligence, Commonwealth of Australia |
Value | $20,000 |
N Rosa, M Ristic, L Thorburn, GJ Abrahams, B Marshall, CJ Watkins, A Kruger, A Khassapov and J Newman
Crystals 10(2), 2020.
8th International Conference on Computational Models of Argument
OnlineEffective Altrusim Global
London, UK20th INFORMS Applied Probability Society Conference
Brisbane, AustraliaCenter for the History of Political Economy, Duke University
Raleigh, USOne of 32 selected to participate in the second week.
Thirtieth Conference on Neural Information Processing Systems
Barcelona, Spain