CV
Machine-learning researcher / engineer working on adaptive biomedical systems, with experience in scientific simulation, research software and enterprise ML.
Industry CV · 2 pages · PDF
Experience
Research Fellow · Australian National University
Oct 2023–present · School of Computing
Learning and simulation methods for adaptive brain stimulation. Built NeuroStimEnv and reproducible HPC workflows; coordinate ML research with clinical and engineering collaborators and supervise research students.
Honorary Fellow · St Vincent’s Hospital, University of Melbourne
Jun 2021–Jun 2024 · Diabetes Technology Research
Reinforcement learning, glucose prediction and physiological signal processing for automated insulin-delivery research.
Research Officer · Australian National University
Sep 2022–Sep 2023 · School of Computing
Research software for wearable physiological data, including smartwatch data pipelines, ML analysis and visualisation.
Machine Learning Engineer · Yaala Labs
Dec 2018–Sep 2019
Enterprise ML for financial technology, including name screening and financial risk prediction.
Earlier work includes data analytics and ML engineering at Forestpin (Apr–Sep 2018), and co-founding Olivescript (Jan 2017–Sep 2018), a digital-health device and predictive-analytics startup.
Education
PhD, Computer Science
Australian National University · Sep 2019–Jun 2023
Research: reinforcement-learning-based artificial pancreas systems.
MSc (Research), Computer Science and Engineering
University of Moratuwa · Nov 2018–Aug 2020
Research: diabetes prediction from photoplethysmography and physiological data.
BSc Engineering (Honours), Electronic and Telecommunication Engineering
University of Moratuwa · Jan 2014–Jan 2018
Research: wearable sensing for arm motion and throwing-related injury risk.
Technical strengths
- Methods: reinforcement learning, generative modelling, time-series ML and biomedical signal processing.
- Engineering: Python, PyTorch, scikit-learn, MATLAB, MLflow and reproducible experiment pipelines.
- Simulation and infrastructure: NEURON, LFPy, SimNIBS, physiological simulation and HPC/cloud workflows.
Selected recognition
- 2025: Outstanding New Researcher Highly Commended Award, ACT Health Directorate.
- 2025: Commendation for Excellence in Supervision, Australian National University.
- 2024: Branko Cesnick Best Academic Paper Award, HIC.
See publications and research software for papers, code and project details.
Updated .