Volodymyr Chapman

Profile

I completed my formative training in Biochemistry and Systems Biology (BSc) at Imperial College London, with an industrial placement year at GSK, Stevenage. I trained in machine learning, computer vision and deep learning through an extended predoctoral internship under the guidance of Prof. Dan MacLean at The Sainsbury Laboratory, Norwich. I conducted my doctoral research under the supervision of Professors David Westhead (Bioinformatics) and Reuben Tooze (Haematopathology) at the University of Leeds, focusing on patient stratification using machine learning in histopathology. This PhD led to award of an internal Innovation & Impact grant, funding my first Research Fellowship to commercialise research.

Research interests

I have a wide range of interests in Deep Learning, including Computer Vision, Graph Neural Networks and Weakly-supervised Learning. Open source contributions can be tracked on the appropriate GitHub page: https://github.com/VolodymyrChapman

Qualifications

• PhD AI for subgrouping in non-Hodgkin Lymphoma (University of Leeds; pending minor corrections)
• PGCE Secondary Science Education (TeachFirst Leadership Development Programme)
• BSc Biochemistry with a year in Industry (Imperial College London with industry year at GSK)

Professional memberships

• European Society of Digital and Integrative Pathology (ESDIP)

Student education

Co-supervision of MSc projects in AI, Medicine and Health. From 2023-2025, this has involved 5 MSc students who have all successfully completed their MSc studies and progressed to relevant work or further study.