Darius Barušauskas
Industrial Mathematics Darius Barušauskas, who studied Econometrics at Vilnius University, is the co-founder and data scientist of the deep learning startup Oxipit in Vilnius. Darius has 7 years of experience in machine learning and deep learning applications, he has created over 30 models for financial, utilities and telco companies, and has achieved international acknowledgement in online data scientist community. Darius will talk about his work at Oxipit as well as his involvement and achievements in Kaggle, the platform for predictive modelling and analytics competitions.
Dr. Tomas Juškevičius
Pure Mathematics Dr. Tomas Juškevičius finished doctoral studies and obtained his PhD at the University Of Memphis (Tennessee, US). After spending one year as a postdoc at the Uppsala University, Sweden, he returned to the Vilnius University, where he works now as a researcher and a lecturer at the Institute for the Data Science and Digital Technologies, Faculty of Mathematics and Informatics. Tomas’ scientific interests are tied to the Probability Theory, especially the concentration of measure in spaces. He will give a general talk on his field of research, as well as his results on the optimal bounds for the concentration of the probability in groups.
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Dr. Paulius Drungilas
Mathematical Education Our guest speaker on Mathematical Education is dr. Paulius Drungilas, an assistant professor and a vice-dean of Faculty of Mathematics and Informatics of Vilnius University. P. Drungilas is one of the principal organizers of mathematical competitions for high school and university students such as LitMO and MIFMO. As a head of the Lithuanian Kangaroo competition, Paulius will talk about the challenges that the organizers of Kangaroo face and will share the most interesting moments from the history of this largest mathematical contest in Lithuania.
Petras Ražanskas
Industrial Mathematics Petras is a mathematician and data scientist with extensive practical programming skills. As a PhD student, Petras was creating systems which analysed electromyographic signals of cyclists, the work done in close cooperation with Centre of Applied Intelligent System Research, Halmstad University, Sweden. Today Petras is applying his mathematical knowledge in creating artificial intelligence and automated algorithm decisions in a smart business systems company Data Dog in Kaunas, Lithuania. In his talk, Petras will show how he applies his knowledge in graph theory to one of the Data Dog projects - a planning tool for delivery of goods to homes.
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