The world is stacked with patterns. The essence of every process has an underlying logic to back it up. You might find yourselves looking for the right mathematical models to interpret surface tension, describe stellar dynamics, prove method efficiency, determine particle distribution within a material or simulate molecule behavior within a tumor. The Mathematics Arena provides you with a possibility to apply mathematical reasoning and tackle real world challenges in a diverse team.
Don’t let the name of the arena fool you. You can’t do it alone, and a team consisting of only mathematicians will likely have to overcome various hurdles. You want people of various skills; mathematicians, physicists, computer scientists. You might be wondering now...saying...but there are so many different research fields, how do I choose the right people? No worries, the core competences will be defined by the mentoring team based on the upcoming tasks.
Because you will get a chance to find out what kind of challenges await you after finishing university. You will learn how to work in a team and be able to explore different uses of mathematical reasoning for new fields of research. You are probably curious to learn if you are ready to face the challenges which you can’t completely prepare for – this is the best way to do it! Finally, based on the results, you will get a unique opportunity to present your solution to the jury. That way, not only you can solve a problem, but you can communicate your solution to the field experts, coming from both academia and industry.
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Tamara Martinčić graduated in Mathematical Statistics and Computer Science from the Faculty of Science, University of Zagreb. She began her career as a programmer developing business solutions for large Croatian companies. Currently, she works in the IT department of Croatia Osiguranje as part of a team that introduces new technologies, optimizes processes, digitizes business and brings changes. Tamara is motivated by new ideas, brainstorming, stepping out of her comfort zone and teamwork.
Nina Pavić graduated in Financial and Business Mathematics from the Faculty of Science in Zagreb. She has participated in an education program on AI and data science organized by the Faculty of Electrical Engineering and Computing and PBZ as part of the Deep Learning for Credit Risk Assessment project. Currently she works in the Data Science team, focusing on problems in various areas of banking, such as Risk Management, Security, Digital Sophistication, AML, with a particular interest in real-time anomaly detection.
Marko Duspara studies Applied Mathematics at the Faculty of Science in Zagreb. His main interest are evolutionary partial differential equations. He likes to read and write in his spare time, and also cook and play videogames.
Denis Lukić works in the Data Science team at Privredna Banka Zagreb and is responsible for developing data models using machine learning and deep learning algorithms. The Bank deals with various types of data in different areas of banking, such as Risk Management, Customer Relationship Management and Digital Banking. By utilizing his knowledge of mathematics, statistics, and computer science, Denis is able to provide solutions to various problems.
Antonela Trbović works as a Senior BI/DWH Engineer at Croatia Osiguranje. Previously, she worked as an assistant and postdoctoral researcher at the Faculty of Science, University of Zagreb, where she also graduated in Theoretical Mathematics and obtained a doctorate in Number Theory.