Baris Kanber is a Senior Research Fellow at UCL with 11+ years of focused experience in medical physics, combining deep scientific computing and programming skills with rigorous research methodology. He holds a PhD in Medical Physics and a First Class BSc in Physics with Medical Physics from the University of Leicester, underpinning a career that translates technical insight into patient-focused innovation. At UCL since 2015, he leads collaborative, data-driven projects that push diagnostic and therapeutic boundaries while mentoring multidisciplinary teams. Known for blending curiosity with precision, he thrives on turning complex datasets and models into clinically relevant solutions that improve outcomes. Though primarily research-focused, his practical software expertise enables reproducible, scalable analysis pipelines that bridge academia and applied healthcare.
10 years of coding experience
PhD, Medical Physics, Commendation, PhD, Medical Physics, Commendation at University of Leicester
Contributions:14 commits, 13 pushes, 1 branch in 1 year 7 months
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