Summary
Jonathan Ish-horowicz is a Data Science Lead based in London with nine years’ experience translating advanced statistical research into applied machine learning for healthcare. He holds a PhD in Mathematics (Statistics) and built a niche in non-parametric ML for biological sequences during a postdoc at Imperial College London, where he developed interpretable clustering, Bayesian time-series methods, and network analyses for lung microbiome studies. At IQVIA he has progressed from Senior Data Scientist to leading teams that deploy bespoke analysis pipelines for biomedical research and clinical datasets. Jonathan combines rigorous academic grounding with pragmatic production delivery, often privileging interpretable, domain-aware models over black-box solutions. Colleagues value his ability to bridge clinicians, experimentalists and engineers to turn complex biological signals into actionable insights.
10 years of coding experience
5 years of employment as a software developer
MPhys, Physics, MPhys, Physics at The University of Manchester
Doctor of Philosophy - PhD, Mathematics (Statistics), Doctor of Philosophy - PhD, Mathematics (Statistics) at Imperial College London
University College London