Summary
Markus Rauhalahti is a computational chemist turned biophysicist with nine years of experience modeling and designing atomistic systems, currently focused on bioenergetic protein complexes. He holds a PhD in computational chemistry and applies a broad toolkit—MD, neural structure prediction, graph theory, interpretable ML and chemoinformatics—to bridge quantum-level insight and mesoscale biomolecular function. His work spans academia and industry, from method development and structural bioinformatics to real-time spectroscopic data systems and chemometric pipelines. Markus enjoys tackling fundamental problems and delivering generalizable solutions, and he combines deep theoretical roots (solving HΨ = EΨ) with practical engineering of data-driven workflows. Based in Finland, he also pursues applied metascience, HCI and AI as an independent researcher, frequently collaborating across disciplines and sectors.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computational chemistry, Doctor of Philosophy - PhD, Computational chemistry at University of Helsinki