Nadine holds a PhD in Applied Mathematics with a focus on machine learning for multimedia content analysis. Since 2018, she has been developing ML-based solutions to complex real-world problems related to machine listening, computer vision, recommendation systems, time series analysis and generative AI. She has participated in three successful Innovate UK grants, as well as several other publicly-funded research projects. Nadine holds several patents in the field and has co-authored numerous scientific journal publications and conference papers. As well as her PhD, she has a BSc and MSc in Electrical and Audio Engineering and a further MSc in Sound and Music Computing.

Fabio holds a PhD in Applied Mathematics. His research focused on algorithm design and machine learning, particularly for drone applications across various industrial domains. He has over three years of experience developing real-world solutions using machine learning techniques for classification, regression, time series analysis, and, more recently, natural language processing (NLP) and generative AI. Additionally, he has over five years of experience in full stack software engineering, creating web and mobile applications using frameworks such as Django/Flask (Python), alongside JavaScript, HTML, and CSS. During his PhD, Fabio actively contributed to several European publicly-funded research projects. He is also a co-author of numerous esteemed publications in scientific journals and conferences.

Aggelos is an Associate Professor of Informatics at the University of Piraeus, Greece. His research interests lie in the areas of machine learning/artificial intelligence for audio, video, speech and music signals with an emphasis on deep neural network architectures, dictionary learning algorithms, hidden Markov Models and dynamic time-warping techniques. He is a co-inventor of granted patents on music recommendation technology and he has co-authored two international textbooks with Academic Press in the areas of pattern recognition and audio analysis, as well as more than 50 research papers in international journals and conferences, including IEEE Transactions on ASLP, IEEE Transactions on Multimedia and IEEE ICASSP. He has also served for a number of years as an Associate Editor of the EURASIP Journal on Advances in Signal Processing.

Jessica is a Technical Project Manager with a Bsc in Informatics and experience leading complex technical projects from discovery to client delivery. She specialises in turning ideas into structured execution, bridging the gap between technical teams, clients and business objectives. Hands-on with AI, she builds tools and workflows that automate and standardise core business processes, improving quality and speeding up delivery. Her focus is on taking ambitious AI initiatives beyond experimentation and into real-world adoption.

George is an ML Engineer and Full Stack Developer with a BSc in Informatics and 4+ years of experience across academic and commercial projects, spanning computer vision, audio processing, NLP, LLMs and agentic systems.

He specialises in multi-agent systems, agent harnesses and the full-stack applications around them. Also in bespoke data pipelines and traditional ML for business processes, leading projects from research to production.

His tech stack includes Python, Java and TypeScript, with FastAPI, PyTorch, Spring Boot and Next.js. He graduated top of his class, with a thesis on meta-learning: training models to adapt and generalise from limited data.

Ivo holds an MSc in Robotics & AI from UCL, where his dissertation focused on applied Machine Learning for autonomous tactile sensing. He has worked on projects ranging from computer vision for motion planning to advanced natural language processing for social media analysis. His software development experience covers both backend and frontend development, as well as machine learning frameworks, such as Pytorch.

Timothy holds a BSc in Informatics and Mathematics and specialises in building production-ready machine learning systems. His work spans large language models, agentic AI systems, reinforcement learning, computer vision, predictive modeling, and geospatial machine learning. He has experience developing end-to-end ML solutions, from data pipelines and model development to deployment on AWS and GCP. He has also built independent ML solutions in agriculture, including crop yield prediction, NDVI analysis plant health monitoring, as well as recommendation systems focused on real-world impact.

Tamim holds a BSc in Bioinformatics (Pre-Med) from the Lebanese American University and is currently an MSc candidate in Statistics and Data Science at UHasselt, specialising in Bioinformatics. His work sits at the intersection of biology, statistics, and computer science, spanning machine learning, sequencing algorithms, and multi-omics analysis. He also has over three years of software engineering experience in full-stack development, building data-driven applications with Python, R, Java, Next.js, React, and FastAPI. He is particularly interested in applying computational and statistical methods to biomedical research.

Steven holds a BSc in Computer Science, graduating as the Best Student of his 2022 class. He specialises in bridging advanced AI research with scalable software architecture. His work spans multiple machine learning domains, including large language models, agentic AI systems, natural language processing and computer vision. With a strong background in full-stack software engineering, Steven has experience designing end-to-end solutions, from backend infrastructure to responsive frontend interfaces. He is highly proficient in turning complex models into production-ready applications.

Tom has previously built two VC-backed businesses across consumer and tech. More recently, he was Managing Director of Pyrsos AI Research, an applied ML research company building enterprise-grade AI systems. Having received a BSc from Bristol University, he went on to do a number of AI-related Executive Management programmes with INSEAD and Oxford University. His entrepreneurial background has given him broad cross-sector commercial experience.

Maya has over ten years’ experience delivering technology-enabled change across sectors including public sector, transport, energy and enterprise AI. Her recent work spans AI product management and transformation, including the design and delivery of complex agentic systems from proof-of-concept through to production. At Passion Labs, she leads how our research becomes product, building lasting partnerships with customers that deliver value from first conversation through to production.

Anthony holds a BSc in Management and Transdisciplinary Innovation from the University of Technology Sydney. He has placed in several strategy and consulting competitions, including Strategy& and the International CBS Case Competition. He has built his career around emerging technology, working across both large enterprises and start-ups. At a global research and advisory firm, he supported the decision intelligence of C-suite leaders navigating emerging technologies and market challenges. Alongside this, he led the commercial function at several high-growth start-ups. He now pairs strategic insight with a builder’s drive to grow Passion Labs at the heart of Australia’s AI/ML ecosystem.

Ben holds an MSc in Personalised Medicine from UCL. His research involved applying machine learning to clinical data analysis and developing advanced therapeutic strategies. He has worked across growth and GTM at startups in AI-driven enzyme optimisation and data intelligence. He has also led winning teams at both the Crick Innovation and BaseKX entrepreneurship challenges.

Luc has a BSc in Accounting and Finance from the University of Bristol. For the past few years, he worked as Founders' Associate to the CEO of one of the fastest growing AI startups in the UK, before spearheading the commercial function at a Virtual Reality & AI platform revolutionising the education system. Passionate to be surrounded by the best minds in ML/AI, he's excited to help drive growth at Passion Labs.

Salome holds a BSc in Computer Science with a focus on AI and data science. A former PwC Technology Consultant, she was recognised as UniDays Woman of the Year 2024 and has worked with Google DeepMind and the Raspberry Pi Foundation to make AI education accessible and inclusive worldwide.

Amir is a Fellow Chartered Accountant (ICAEW) with a degree in Economics from the London School of Economics. He trained at PwC London, before holding senior finance roles with businesses in the UK and internationally. With over 25 years of experience, Amir brings together financial strategy, commercial insight and tax expertise to lead Passion Labs' finance function and support the business through its growth.