Experience
AI Researcher
Chronosphere (Aug 2025 - Present)
ML/AI Research Intern
Bureau of Meteorology (Dec 2024 - Aug 2025)
- Investigated the feasibility of using empirical normal modes as a significantly more parameter efficient and interpretable means of forecasting with ML/AI.
- Developed scalable pipelines for training and evaluation on the NCI Gadi supercomputer.
- Supervised by Gilbert Brunet (former Chief Scientist at BoM), Catherine de Burgh-Day and Craig Bishop.
Member of AI Research Group
Monash University (Mar 2024 - Present)
- Member of A/Prof. Mehrtash Harandi’s group. Informal member while I complete my undergraduate studies.
- Interests include probabalistic methods (Bayesian ML, energy-based models, etc.), interpretability (Singular learning theory, etc.), and more generally, how to embed prior knowledge into models (PINNs, reasoning LLMs, geometric deep learning, etc.).
Google Summer of Code Contributor
NumFOCUS, PyMC (May 2025 - Sep 2025)
Research Intern
University of Melbourne (Nov 2022 - Mar 2025)
- Conducted research on the behaviour of heat fluxes in tropical cyclones.
- Lead author in paper published to Geophysical Research Letters (Q1 Journal). More info here.
- Made data analysis up to 48 times faster by introducing Python multiprocessing.
Simulation and Machine Learning Engineer
Monash High Powered Rocketry (Apr 2022 - Feb 2025)
- Led the research and development of ANDROMEDA, a data-driven tool which sped up fluid simulations from taking hours to just minutes.
- Won second place for research and modelling internationally (Spaceport America Cup, Charles Hoult Award).
- Vice lead of the Dynamics section during the 2023-2024 management cycle.
- Oversaw and managed section R&D projects.
- Reported to CTO at technical meetings.
- Developed pipelines on the MonARCH cluster.
- 2nd largest contributor to the GitLab by Git contributions as of writing.
Education
BEng (Hons) Aerospace Engineering, Minoring in Artificial Intelligence
Monash University (Feb 2022 - Nov 2026)
- WAM 81.5 (High Distinction)
- Selected cohort rankings:
- 3rd of ~200 in ENG2005 Advanced Engineering Mathematics.
- 8th of 197 in ECE4179 Neural Networks and Deep Learning
- 2nd of 57 in MAE3401 Aerodynamics 2
- 5th of 42 in MAE3404 Flight Vehicle Dynamics
- Top 5% in MEC3456 Engineering Computational Analysis
University Extension Program (Physics)
University of Melbourne, (Feb-Nov 2021)
- Selected as one of around 20 students statewide based on academic performance to undertake two first year physics units during my final year of high school.
- H1 Honours (High Distinction).
Publications
Novomestsky, M., Voermans, J. J., & Babanin, A. V. (2025). In situ measurements of sensible heat fluxes in a tropical cyclone. Geophysical Research Letters, 52, e2025GL115842. https://doi.org/10.1029/2025GL115842
Teaching
Competitions
International Young Physicists’ Tournament (IYPT), 2021
- Captain of the Australian team.
- Represented Australia on the world stage by leading the national team in an international physics Olympiad.
- Researched and presented on university-level theory including Lagrangian mechanics whilst still in high school.
Two-time ASO Physics Olympiad Distinction, 2020 and 2021
