I am an artificial intelligence and machine learning (AI/ML) researcher based in Australia, working at the intersection of applied mathematics, machine learning, deep learning, and applications in scientific and industry domains. I bring a comprehensive understanding of modern AI/ML and data-driven technologies to my work, and a passion for working with diverse, multidisciplinary teams to realise the impact of advances in AI technologies.

Experience

My career spans research and industry, with experience across AI/ML consulting, startups, and advanced research in multiple countries. My background includes:

In these roles I have delivered end-to-end AI/ML projects across a wide range of industries, including healthcare, finance, natural resources and public sector services.

qualifications & Technical expertise

My technical skills include:

  • Advanced machine learning techniques, including deep learning, probabilistic machine learning, and the latest innovations in foundation models, large language models (LLMs) and generative AI

  • Python, PyTorch, JAX, and other relevant programming languages and frameworks for building AI/ML

  • Cloud platforms and MLOps practices for deploying and maintaining machine learning models in production

  • Extensive experience in training large-scale models on high-performance computing clusters, leveraging distributed training and inference techniques and GPU acceleration

  • Strong foundation in applied mathematics and statistics

  • Data management expertise, including data processing, cleaning, integration, and governance for large-scale AI/ML projects

My qualifications underpin my expertise in the foundations of modern AI technologies, covering mathematics, statistics, computer science, economics, machine learning, and deep learning:

  • PhD (Computer Science, Probabilistic Machine Learning), Aalto University, Finland (expected completion: late 2024), working with Professor Samuel Kaski (University of Manchester, Aalto University)

  • First Class Honours (Applied Mathematics), University of Sydney, Australia, where I was awarded the K.E. Bullen Memorial Prize for outstanding achievement in Applied Mathematics

  • BSc (Mathematics and Statistics, Economics), University of Western Australia, Australia

Furthermore, my research career has resulted in several first-author publications and significant open-source software contributions in the field of AI/ML. See my research page for further details.

consulting services

With my unique blend of academic rigor, industry experience, and international perspective, I am well-equipped to guide organizations through the complexities of AI adoption and implementation. I particularly excel at:

  • Identifying strategic opportunities for AI technologies across various sectors

  • Delivering end-to-end AI/ML projects from conception to deployment

  • Designing and implementing ML models for both edge and cloud-based applications (e.g., using AWS, Azure)

  • Translating complex scientific and business requirements into practical AI applications

  • Applying and advancing cutting-edge research to solve real-world problems

  • Managing and training specialized teams in advanced AI/ML development

IN THE media

March 2024

Interview by the Finnish Center for AI about Proof of Concept funding from the Research Council of Finland to advance my research on AI-powered personalized medicine

september 2020

Featured in Sifted (Financial Times) for my work on AI-powered digital health and mobile health tools for women’s health

april 2020

Featured in numerous media outlets for my work on digital health during the COVID-19 pandemic, including CNN, Forbes and Sydney Morning Herald

media

March 2024

Interview by the Finnish Center for AI about Proof of Concept funding from the Research Council of Finland to advance my research on AI-powered personalized medicine

september 2020

Featured in Sifted/Financial Times for my work on AI-powered digital health and mobile health tools for women’s health

april 2020

Featured in numerous media outlets for my work on digital health tracking during the COVID-19 pandemic, including CNN, Forbes and Sydney Morning Herald

media

March 2024

Interview by the Finnish Center for AI about Proof of Concept funding from the Research Council of Finland to advance my research on AI-powered personalized medicine

september 2020

Featured in Sifted/Financial Times for my work on AI-powered digital health and mobile health tools for women’s health

april 2020

Featured in numerous media outlets for my work on digital health tracking during the COVID-19 pandemic, including CNN, Forbes and Sydney Morning Herald

© 2024 Sophie wharrie