Lecturer, data scientist and software engineer.
Currently at The University of Sydney where I teach statistics, data science and machine learning.
1/10/2024
I've updated the Too Many Guns site to use MapLibre and partial property updates. The later change removes the need for client side callbacks.
29/08/2024
My feedback on the topic of enforcing structured output from LLMs was discussed during Follow-up™ at 30:23.
26/07/2024
Alison Wong and I presented at the University of Sydney Business School Learning and Teaching Forum about our project using Karel to o help students visualise code execution and encourage students to practise and develop their programming skills.
06/06/2024
My feedback on the topic of an 'infinite context' method from Google for LLMs was discussed during Follow-up™ at 27:30.
14/05/2024
I spoke at a Business Analytics 'Brown Bag' with Alison Wong about our project using Karel to o help students visualise code execution and encourage students to practise and develop their programming skills.
3/11/2023
I received the Educational Innovation Award in the category 'Transform assessment and feedback practices' for my feed-forward assessment design in QBUS5010 Introduction to Dashboarding.
18/8/2023
Alison Wong and I presented at the Education track of PyCon AU 2023 about our approach to assurance of learning for automatically marked assessments.
18/8/2023
Alison Wong and I presented at the Education track of PyCon AU 2023 about realtime collaborative programming in a university education context.
7/8/2023
Alison Wong and I were awarded a Teaching and Learning Innovation Grant to the value of $5000 for the support the design, deployment, and evaluation of a games-based, playful, or simulated learning intervention.
31/05/2023
I co-presented at the University of Sydney Business School Learning and Teaching Forum about a reflective approach to students as partners that was developed for QBUS5010 Intro to Dashboarding and Data Visualisation. The approach was designed and deployed by Andrew Cram, Enosh Yeboah, Alison Casey and myself.
1/1/2023
I was promoted from Lecturer to Senior Lecturer in the 2022 promotions round. The position is equivalent to Associate Professor in the US.
17/11/2022
As a team, Alison Wong, Priyanka Cheema and myself were awarded the University of Sydney Business School (USBS) Toolbox & Innovator Award, which recognises high quality, novel teaching practices and exceptional contributions to the USBS teaching community.
28/09/2022
I co-presented at the University of Sydney Business School Learning and Teaching Forum about embedding dynamic and interactive visualisations in learning material using plotly.
28/09/2022
Priyanka Cheema and I presented at the University of Sydney Business School Learning and Teaching Forum about detecting and reducing academic misconduct in an introductory programming unit.
1/8/2022
I designed and developed this introductory dashboarding unit with assistance from Ardi Mirzaei. Students learn how dashboards systems work, how they are built and to analyse dashboard designs using principles of visual analytics. The students use plotly Dash to implement their dashboards.
21/7/2022
I wrote a proof of concept solver for John Siracusa's Frame Game. I created an interactive dashboard and wrote an overview of how it works.
16/7/2022
I solved the 'Two Candles, One Cake' problem using Python. Symbolic, numeric and simulation solutions are provided. I further generalised the solution to non-uniform distributions.
27/06/2022
Co-authored blog post on interactive elements of BUSS6002.
18/3/2022
I spoke at a Business Analytics 'Brown Bag' seminar on wordle strategies and the broader applications for diagnoses and sequential experimental design.
23/1/2022
I wrote a fast solver for wordle written in Python. This package offers multiple solving strategies and empirical comparison of each.
17/11/2021
Alison Wong and I presented at the University of Sydney Business School Learning and Teaching Forum about our innovative approach to teaching online.
20/10/2021
I added support for the SCD4X CO2 sensor to ESPHome. Pull request on Github.
20/10/2021
I added support for the LTR390 UV and ambient light sensor to ESPHome. Pull request on Github.
16/09/2021
I was interviewed by the USYD Co-Design Research Group about our innovative approach to teaching online.
10/09/2021
Alison Wong and I presented at the Education track of PyCon AU 2021 about our innovative approach to teaching online.
18/08/2021
I added support for the PMSA003I particulate matter sensor to ESPHome. Pull request on Github.
1/8/2021
KNN filtering reduces computation requirements for Subspace Clustering. Theorertical justification is provided and empirically validated. View on Google Scholar. I was responsible for conceptualization, methodology, investigation, software, validation, writing - original draft.
19/5/2021
I added support for the SHT4X temperature and humidity sensor to ESPHome. Pull request on Github.
1/3/2021
I designed and devleped this introductory programming unit. The unit teaches programming with Python and covers traditional programming topics such as OOP and data structures, through to everyday business tasks such as handling and visualising data.
27/10/2020
Andrey Vasnev and I presented at ISF 2020 about the Forecast Lab, which provides easily accessible economic and financial forecasts.
10/10/2021
This Sydney Morning Herald article uses visualiations from my 'Teacher Pay Comparison' dashboard.
14/04/2021
I completed the Graduate Certificate in Educational Studies (Higher Education). The 1 year course is designed to develop scholarly, research-led approaches to teaching while engaging in activities and tasks aimed at cultivating critical reflection about higher education.
10/03/2021
On 10th March 2021 I was admitted as a Fellow of the Higher Education Academy. This accreditation is in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education.
13/7/2020
I wrote a Python implementation of 'Better Estimates from Binned Income Data'. This technique allows distributions to be estimated from binned data.
16/6/2020
I made a supplemental dashboard to accompany submission to 'Valuing the teaching profession' inquiry. The dashboard uses plot.ly Dash and the code is available on Github.
2/4/2020
We extend subspace clustering to data that represents functions and curves. View on Google Scholar.
23/11/2015
We show that fusing multiple noisy images under a total variation penalty improves reconstruction. This idea can be selectively applied to individual pixels of each source image in the case of corrupted sections of images. View on Google Scholar.
12/7/2015
We show that forcing the affinity matrix of SpatSC to be low-rank improves performance. View on Google Scholar.
25/11/2014
We show that the pixel affinity from a high resolution image can be used to enhance low resolution images of the same scene. This technique is general enough to support fusion between any image types. View on Google Scholar.
2014
We show that subspace clustering on sequential data can be dramatically improved by incorporating spatial constraints. View on Google Scholar.
26/11/2013
We show that iteratively refining an alpha matte can lead to impressive results with very sparse labels. View on Google Scholar.
3/12/2012
We show that total variation regularisation improves alpha mattes. View on Google Scholar.