Jānis Lazovskis is a postdoctoral researcher and mathematician with a decade of experience applying algebraic topology to biological and neural systems, currently leading an EPSRC- and BlueBrain-linked research trajectory and a Latvian Council of Science project on efficient topological signatures. He blends rigorous theoretical training (PhD, UIC; MMath and BMath, Waterloo) with practical data-science work in forecasting and voxel-imaging algorithm collaborations, bridging pure math and applied computation. As an educator and academic coordinator he has designed and taught mathematics and programming courses while supporting student research and faculty training. He contributes to collaborative international projects (EPFL/BlueBrain) and has a track record of moving abstract topological methods toward interpretable, application-ready tools for neuroscience and bioimaging. Outside research he invests in organizational roles to cultivate clear, inclusive environments, signaling a commitment to sustainable academic ecosystems.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Pure Mathematics, Doctor of Philosophy (Ph.D.), Pure Mathematics at University of Illinois at Chicago
Master of Mathematics, Pure Mathematics, Master of Mathematics, Pure Mathematics at University of Waterloo
Contributions:1 release, 82 pushes, 1 branch in 1 year 7 months
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