CV

• 2023 - present - Computer Science (PhD Student) - University of Wrocław

• 2021 - present - Data Science (Master Student) - University of Wrocław

• 2021 - 2023 - Mathematics (Master) - University of Wrocław

• 2017 - 2020 - Mathematics (Bachelor) - University of Wrocław

• 2013 - 2020 - Saxophone (1st level), Singing (2nd level) - F. Chopin State Music School in Opole, Poland

• 10.2024-present  - Assistant (asystentka badawczo-dydaktyczna), University of Wrocław

• 03 - 10.2022, 10.2023 - 06.2024 - Research Student Participant in an OPUS-18 project Learning Latent Data Structure from Observations founded by the National Science Center, University of Wrocław

• 07.2020 - 01.2022 - Junior Data Scientist at QuantUp

• 2017 - present - Tutor in Mathematics (from primary school to university level)

Orcid ID: 0009-0001-4176-087X

• Piotr Lipinski and Klaudia Balcer. 2024. Explaining Session-based Recommendations using Grammatical Evolution. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '24 Companion). Association for Computing Machinery, New York, NY, USA, 1590–1597. https://doi.org/10.1145/3638530.3664156

• Balcer, K., Lipinski, P. (2024). Extending DenseHMM with Continuous Emission. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Lecture Notes in Computer Science, vol 14452. Springer, Singapore. https://doi.org/10.1007/978-981-99-8076-5_17

• Machine & Deep Learning

• Mathematics

• Statistics

• Data Analysis, Data Science

• Stochastic Modelling

• Programming (Python)

• Teaching 

• Recommender Systems

• Simulations & Monte Carlo Methods

• Excellent Communication and Time Management

• Grant for young researchers Młody Badacz nr BPIDUB.4610.187.2023 for the participation at ICONIP 2023 conference

• Travel grant for the MLinPL 2023 conference in Warsaw awarded by G-Research

• Invitation to Synapse AI Symposium 2023 in Milan and a grant covering travel and participation costs awarded by Bending Spoons

• Balcer, K., Lipinski, P., Extending DenseHMM with Continuous Emission, The 30th International Conference on Neural Information Processing, 2023 (talk).

• Balcer, K., Co-occurrence-based learning. How much information do we lose while using approximate probabilities of discrete values?, MLinPL, 2023 (poster).

• Balcer, K., Can we explain what is hidden? SSM in XAI, Big data analytical methods for complex systems (CASUS-UWr), 2022 (talk).

• Balcer, K., Lipinski, P., Rychlikowski, P., Gaussian Dense Hidden Markov Model, Big data analytical methods for complex systems (CASUS-UWr), 2022 (poster).

• Participant at OxML 2024 Health & Bio (Summer School)

• Presentations at the open days of the Institute of Mathematics and the Institute of Computer Science

• Organizational work for Computational Intelligence Research Group (CIRG)