About
Machine Learning enthusiast, a Ph.D. student with five years of experience in the field. Co-author of machine learning publications concerning graph representation learning field and natural language processing.
😊 Eager to deploy machine-learning techniques for real-world problems regarding textual, graph, or multimodal data.
👨💻 Libraries & Benchmarks Co-author of CLARIN-PL Embeddings library (https://github.com/CLARIN-PL/embeddings/) that provides various ready-to-use NLP pipelines. Co-author of LEPISZCZE benchmark (lepiszcze.ml) - A new, comprehensive open-source benchmark for Polish NLP with a continuous-submission leaderboard. NeurIPS 2022 Accepted Paper on Dataset and Benchmark Track
👨🏫 Teaching Instructor, creator of assignments and course materials, host of Kaggle InClass competitions at WUST (Wroclaw University of Science and Technology) laboratory and project courses.
➡️ Current projects Currently engaged in projects concerning the development of dialogue and Question-Answering (QA) systems for Polish and representation learning for dynamic graphs.
Research Interests
Education
M. Sc. in Computer Science
Wroclaw University of Science and Technology · 2017
Publications
RAFEN: Regularized Alignment Framework for Embeddings of Nodes
2023 · ICCS 2023
FILDNE: a framework for Incremental Learning of Dynamic Networks Embeddings
2022 · *Knowledge-Based Systems*
Embedding alignment methods in dynamic networks
2021 · *Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 1*
Incremental learning in dynamic networks for node classification
2018 · *Network intelligence meets user centered social media networks*