Jānis Lazovskis Hello, I am a mathematician living in Riga, Latvia, currently working as a Data scientist at Printful and as an Assistant Professor at RTU Riga Business School. For the Fall 2024 semester I am mentoring bachelor theses at RBS. My research is in algebraic topology and topological data analysis, with a focus on the dynamic setting and visualizations. I have also served on the board of the Latvian youth seminars 2x2.
Publications Most of my research projects are with the Neuro-Topology group at Aberdeen and the Blue Brain Project at EPFL, and all fall under the broad umbrella of "dynamic topology." My research is broadly summarized by the following keywords: topological data analysis, configuration spaces, persistent homology, stratifications. I support the Cost of Knowledge project.
Modeling and Simulation of Rat Non-Barrel Somatosensory Cortex. Part I: Modeling Anatomy Michael W. Reimann, Sirio Bolaños-Puchet, Daniela Egas Santander, András Ecker, Jānis Lazovskis, Cristoph Pokorny, Jason P. Smith, Vishal Sood, Ran Levi, Kathryn Hess, Henry Markram, and others
published in eLife Neuroscience (journal, biorxiv), August 2024
Heterogeneous and non-random cortical connectivity undergirds efficient, robust and reliable neural codes Daniela Egas Santander, Christoph Pokorny, András Ecker, Jānis Lazovskis, Matteo Santoro, Jason P. Smith, Kathryn Hess, Ran Levi, Michael W. Reimann
preprint (biorxiv), March 2024
Pruning vineyards: updating barcodes by removing simplices Barbara Giunti, Jānis Lazovskis
preprint (conference, arxiv), December 2023
DONUT - Creation, development, and opportunities of a database Barbara Giunti, Jānis Lazovskis, Bastian Rieck
published in Notices of the American Mathematical Society (journal, arxiv), November 2023
Combinatorial Exploration of Morse–Smale Functions on the Sphere via Interactive Visualization Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang
published in Topological Data Analysis and Visualization 2023 (proceedings, arxiv), October 2023
An application of neighbourhoods in digraphs to the classification of binary dynamics Pedro Conceição, Dejan Govc, Jānis Lazovskis, Ran Levi, Henri Riihimäki, Jason P. Smith
published in Network Neuroscience (journal, arxiv), June 2022
Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies Michael W. Reimann, Henri Riihimäki, Jason P. Smith, Jānis Lazovskis, Christoph Pokorny, Ran Levi
published in PLOS ONE (journal, biorxiv), January 2022
Stratifications on the Ran space Jānis Lazovskis
published in Order (journal, arxiv), June 2021
Moduli spaces of morse functions for persistence Michael J. Catanzaro, Justin Curry, Brittany Terese Fasy, Jānis Lazovskis, Greg Malen, Hans Riess, Bei Wang, Matthew Zabka
published in Journal of Applied and Computational Topology (journal, arxiv), June 2020
Events Upcoming and past events. Talks since 2019, and talks from 2014-2019.
2024-10-16: Matemātika un datu zinātne, LU studentu zinātniskais seminārs (slaidi)
2024-09-25: Turning Waste into Treasure, Printful Knowledge Week
2024-05-21: Prāts izglābs pasauli, Radio SWH radījums (ieraksts)
2023-08-26: Dati un stereotipi, Liepājas Jauniešu Festivāls (piezīmes)
2023-04-18: Introduction to Visualization, RBS Taster day (slides)
2023-02-22: Continuous and discrete dynamic topology, TU Graz Institute of Geometry seminar (slides)
2023-01-19: Datu analīze ar Python, LU SZF doktorantu seminārs (slaidi)
2023-01-16: Mathematics and IT in BITL, RBS Greenhouse talk (part 1, part 2)
2022-11-04: Dynamics of neural circuits at different scales, Oxford Applied Topology seminar (slides, site)
2022-10-31: Sustainable development goals of business schools, Eduniversal World Convention panel session (site)
2022-08-23: STEM (DzMIT) skolotāju konference, LJZA diskusija (saite)
2022-02-15: The mathematics and computer science in BITL, RBS Greenhouse talk (slides)
2022-02-07: Key skills of RBS Graduates, RBS Greenhouse talk (slides)
2021-12-22: Describing Data: A Visual Survival Kit, conference talk (slides)
