Summary
Madlen Wilmes is a senior climate specialist and data-focused business scientist with over a decade of experience turning complex data streams into actionable insights for financial decision-making and regulatory reporting. With a PhD in plant biology and a research background in genomics, she blends scientific rigor with practical engineering—building end-to-end pipelines and dashboards using SQL, Python, R, BigQuery, and PowerBI to monitor liquidity, forecast cash needs, and quantify climate risk. At BMO she has led analytics for treasury and liquidity, automated processes to reduce manual work, and engages regulators with transparent, auditable reporting. She co-authored a widely used textbook, teaches programming and reproducible workflows, and organizes her company’s Python and open-source community, reflecting a rare mix of technical mentorship and product-minded delivery. Notably, her career arc from bench scientist to senior analytics manager gives her a distinctive ability to translate domain complexity into pragmatic, timely solutions that senior stakeholders can act on.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Plant Biology, Doctor of Philosophy - PhD, Plant Biology at Max Planck Institute for Plant Breeding Research
Diplom Biologin, Biology/Biological Sciences, General, Diplom Biologin, Biology/Biological Sciences, General at University of Potsdam
German, French, English