Summary
Nick Schurch is a Principal Statistical Scientist specializing in ecology and environmental science, with over 16 years applying quantitative analysis, statistical modelling and data visualization across experimental and theoretical domains. He leads research teams and collaborative projects that blend computational science with applied environmental problems, such as predictive multivariate models for river temperature, Bayesian belief networks for water quality, and soil metagenomics using portable long-read sequencing. Previously he was the computational lead on multi-million-pound plant genomics grants at the University of Dundee, processing terabytes of RNA‑seq data and building bespoke web portals to share results. Comfortable bridging disciplines, he develops and maintains statistical analysis software, relational databases and web UIs while securing research funding and communicating complex results to stakeholders. Notably, his background in astrophysics and early-career postdoctoral work gives him a strong foundation in quantitative thinking that he now applies to environmental decision-making.
11 years of coding experience
7 years of employment as a software developer
High School, High School at Lord Williams’s School
Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics at University of Leicester
MSci, Physics with Astrophysics, 2:1, MSci, Physics with Astrophysics, 2:1 at University of Bristol
English