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Jack Griffiths

@jackgriffiths

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Theoretical physicist and machine learning expert driving innovative solutions.

United Kingdom

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my skills in AI and data science to tackle complex challenges.

I am a theoretical physicist and machine learning expert currently serving as an Innovation Engineer at Origin in Newcastle, United Kingdom. My role involves designing, developing, and project managing innovative AI and data science solutions specifically tailored for the water and onshore gas industry. I thrive in collaborative environments, working closely with C-suite clients to demonstrate our solutions and ensure they meet the highest standards of quality and efficiency.

With a PhD in Theoretical Physics from Durham University, I have developed machine learning methods to solve complex differential equations and AI models to predict thermodynamical parameters of quantum gases. My academic journey has been marked by significant achievements, including receiving The Queen’s Award for Undergraduate Teaching and the Gerard McCartan Memorial Prize for Outstanding Contribution to the MPhys School. I am passionate about applying my knowledge to real-world challenges and continuously seek to push the boundaries of innovation in my field.

Experience

Work history, roles, and key accomplishments

Current

Innovation Engineer

Current

Origin

Aug 2024 - Present (10 months)

Designing and developing innovative AI and data science solutions in the water and onshore gas industry. Leading policy on software development and documentation for ISO standards, while liaising with C-suite clients.

PhD Researcher

Durham University

Jan 2021 - Apr 2024 (3 years 3 months)

Conducted research on artificial intelligence applications in physics, developing machine learning methods and AI models to solve complex problems in theoretical physics.

Machine Learning AI Differential Equations Quantum Physics Research Data Analysis Programming

Undergraduate Tutor

Durham University

Jan 2021 - Apr 2024 (3 years 3 months)

Delivered tutorials for undergraduate physics and mathematics topics, enhancing students' understanding and academic performance.

Teaching Physics Mathematics Communication Curriculum Development Student Engagement

Managing Director

MINIML Ltd.

Apr 2016 - Apr 2019 (3 years)

Led the development of educational technology products, achieving international recognition and winning The Queen’s Award for Enterprise. Managed projects under tight deadlines and negotiated contracts.

Project Management Educational Technology Software Development Contract Negotiation Leadership Award winning Products

Education

Degrees, certifications, and relevant coursework

Durham University

PhD, Theoretical Physics

2020 - 2024

Grade: Pass

Developed machine learning methods to solve differential equations and AI models to predict thermodynamical parameters of quantum gases as part of my PhD thesis on Artificial Intelligence in Physics. Won Best Poster Prize at the International Conference in Quantum Fluids and Solids in Manchester, 2023.

Newcastle University

Master of Physics, Physics

2016 - 2020

Grade: First Class Honours

Completed a dissertation on finite-temperature simulations of a quantum atomtronic interference device, achieving 78%. Won the Gerard McCarten Memorial Prize for Outstanding Project and the Gerard McCarten Memorial Prize for Outstanding Contribution to the School.