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I translate scientific breakthroughs into high-scale industrial systems. Across 10+ years as an expert in AI and Cybersecurity, I have focused on discovering novel math, managing multi-million dollar R&D programs, building algorithmic engines for 50M+ users, governing global infrastructure through WIPO and the QUAD summit.

Beyond the University of Melbourne, I am the Chief Technology Officer of MetaGen and the owner of Priva-Tier AI and EthiCan Consulting. I also serve as a founding board member of Music Technology Australia.

Contact me here to discuss technical leadership, algorithmic revamps at scale, or AI governance.

about-me-image

About Me

A technical leader and AI architect specializing in high-scale algorithmic revamps and mathematically robust system design. I bridge the gap between theoretical breakthroughs in Certified Robustness and Dynamical Systems and the practical realities of production deployment.

  • LocationMelbourne, Australia
  • Age37
  • NationalityAustralian
  • InterestsCycling, Running, Weightlifting, Formula 1, Weird Fiction
  • StudyMonash University
  • EmploymentUniversity of Melbourne

Contributing To & Media Appearances

Contributing to global institutions, government bodies, technology ventures, and national media outlets.

University of Melbourne

University of Melbourne

Executive & Research
AI Researcher, Academic & Research Group Manager
MetaGen

MetaGen

Executive & Research
Chief Technology Officer
Priva-Tier AI

Priva-Tier AI

Executive & Research
Founder & Technical Director
Music Technology Australia

Music Technology Australia

Governance & Policy
Founding Board Member
WIPO

WIPO

Governance & Policy
AI Technical Exchange Committee Member
QUAD Leaders Summit

QUAD Leaders Summit

Governance & Policy
Contributor to round table on Cybersecurity & AI
DST Group / ADF

DST Group / ADF

Governance & Policy
Advisory and consulting
The Conversation

The Conversation

Media & Commentary
Ethical AI & Technology Author
ABC

ABC

Media & Commentary
Broadcasting & Expert AI Commentary

Education

Doctor of Philosophy (Science)

Monash University2012 -- 2018

Developed fast, scalable numerical techniques for nonlinear systems. Expert in Certified Robustness, Game Theory, and Dynamical Systems.

B. Aerospace Engineering & B. Science

Monash University2007 - 2015

Optimized complex structural equations using Geometric Programming and Genetic Algorithms, achieving 50% mass reduction for aerospace applications.

Work

Owner

Priva-Tier AI2025 - Present

Leading an early-stage startup providing white-label AI safety platforms for healthcare and high-security industries, preventing unauthorized confidential data leakage.

Chief Technology Officer

MetaGen2024 - Present

Directing the technical roadmap and orchestrating cross-functional delivery with international contractors to build metadata management systems for the global music industry.

Founding Board Member

Music Technology Australia2025 - Present

Representing technical and research interests on the board of Australia's peak industry body for music technology; driving ethical technology standards and advocating for artist-centric technical infrastructure.

Senior Research Fellow

University of MelbourneJune 2019 - Present

Directed $3.5M in R&D funds across multi-year programs. Produced 40+ peer-reviewed papers (NeurIPS, ICML, ICLR) and 30+ technical reports. Transformed research into production software for the Australian Defence Force specializing in signals intelligence and AI cybersecurity. Currently managing technical delivery for 17 researchers.

Consultant Mathematician & Data Scientist

Self Employed2007 - 2019

Led core product revamp for 50M+ user platform; redesigned bid-ranking algorithms for performance and transparency. Trace millions in lost revenue for ASX-listed clients via quantitative analysis.

Principal – Quantitative Trading & Risk Management

Self Employed2012 - 2017

Developed proprietary mathematical models for high-stakes variable price markets with an annual turnover of $2 million, focusing on active capital allocation and risk management.

Media Training

Australian Science Media Centre2026

Specialized training for translating complex AI and Cybersecurity topics for TV, Radio, and Press.

Skills

Artificial Intelligence
Certified Robustness
Deep Learning
Adversarial Red-Teaming
Generative AI Security
Mathematics
Game Theory
Dynamical Systems
Stochastic Modeling
Numerical Analysis
Programming
Python (Expert/Lead)Expert
CUDA / C / C++Advanced
High-Performance ComputingExpert
Leadership & Strategy
R&D Strategy
Global AI Policy
Technical Roadmapping
Stakeholder Management
Strategic AI Advisory
Media Trained

Projects

Music Technology Australia

Founding Board Member of Australia's peak industry body for music technology. I advocate for ethical AI integration and sustainable growth within the music-tech ecosystem, representing technical interests to government and industry stakeholders.

Music Technology Australia

50M+ User Bid-Ranking Revamp

Led the core engine redesign for a high-traffic platform. Replaced an opaque, legacy bid-ranking algorithm with a high-performance system through rigorous benchmarking and user-validation, significantly reducing latency and improving result alignment.

Mission-Critical ADF Software

Transformed research breakthroughs into production-ready software assets for AI cybersecurity, operations planning, and signals intelligence currently in use by the Australian Defence Force.

Executive Training on AI

Ethi-Can providing tailored AI coaching & training sessions for executives and upper management covering using AI, corporate digital transformation, and AI cybersecurity.

Priva-Tier AI

I run Priva-Tier AI, a startup providing AI safety, security, and verification services, ensuring critical data integrity and preventing unauthorized releases of confidential information.

Abridged Bibliography

  • Cullen, Andrew Craig, Montague, Paul, Erfani, Sarah Monazam and Rubinstein, Benjamin IP. "Position: Certified Robustness Does Not (Yet) Imply Model Security". In: Forty-second International Conference on Machine Learning (Position Paper Track) (2025).
    []
  • Cullen, Andrew C, Rubinstein, Benjamin IP, Kandeepan, Sithamparanathan, Flower, Barry and Leong, Philip HW. "Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction". In: Artificial Intelligence Review (2023).
  • Cullen, Andrew C, Montague, Paul, Liu, Shijie, Erfani, Sarah M and Rubinstein, Benjamin IP. "Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity". In: Advances in Neural Information Processing Systems (Neurips) (2022).
    [Selected for Oral Presentation (Top 1.7% of papers) ; arXiv]
  • Cullen, Andrew C and Clarke, Simon R. "A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations". In: Journal of Computational Physics (2019).

Recent Posts

Cyber Safety, Equity, and Game Theory (discussions based upon writing for The Conversation on Mythos)

June 10, 2026
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Code free Coding with chatGPT

May 15, 2023
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Get in touch.

Reach out to discuss AI technical leadership, algorithmic redesigns, or R&D strategy.

© Copyright 2026 Dr Andrew Cullen