Justin Pinkney
About Justin Pinkney
Justin Pinkney is a Senior Machine Learning Researcher at Lambda, where he has worked since 2021 in Cambridge, United Kingdom. He holds a PhD in Biophysics from the University of Oxford and has previous experience as a consultant at Sagentia and MathWorks.
Work at Lambda
Justin Pinkney has been employed at Lambda since 2021, serving as a Senior Machine Learning Researcher. His role involves conducting advanced research in machine learning, contributing to the development of innovative solutions in the field. Based in Cambridge, United Kingdom, he has been part of the team for three years, focusing on applying machine learning techniques to real-world problems.
Education and Expertise
Justin Pinkney holds a Doctor of Philosophy (PhD) in Biophysics from the University of Oxford, where he studied from 2010 to 2012. He also completed a year at the Life Science Interface Doctoral Training Centre at the University of Oxford from 2008 to 2009. Additionally, he earned a Master of Physics (MPhys) degree from the University of Oxford, studying from 2004 to 2008. His educational background provides a strong foundation in both physics and biophysics, enhancing his expertise in machine learning applications.
Previous Work Experience
Before joining Lambda, Justin Pinkney worked at MathWorks as a Senior Consultant from 2017 to 2021. Prior to that, he served as a Consultant at Sagentia from 2013 to 2017. Both roles were based in Cambridge, United Kingdom, and involved providing consultancy services, leveraging his knowledge in machine learning and related fields to assist clients in achieving their objectives.
Research and Development Background
Justin Pinkney's research and development background is rooted in his academic pursuits and professional experiences. His work at the University of Oxford, particularly in the Life Science Interface Doctoral Training Centre, has informed his approach to machine learning research. His consulting roles at Sagentia and MathWorks have further equipped him with practical skills in applying scientific principles to technological challenges.