Wojciech Kusa
Assistant Professor at NASK
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolWojciech Kusa is an Assistant Professor and NLP/ML engineer with 11 years of experience building and researching (deep) neural approaches to language understanding, information extraction and exploratory data analysis. He blends a rare interdisciplinary background in computer science, linguistics and cognitive psychology with practical experience across industry and academia, including a Marie Skłodowska-Curie fellowship at TU Wien and visiting research positions at multiple international universities. Currently leading the NLP department at NASK, he focuses on biomedical NLP and multilingual NLU, translating cutting-edge research into deployable solutions. He has strong teaching and public-speaking credentials and a track record in project management from academic and student-organisation work. Beyond research, he’s applied NLP in commercial settings (Samsung, Allegro, Square One) and brings hands-on engineering experience from earlier software roles. An avid sailor who circumnavigated parts of Europe on a 36ft yacht, he combines analytical rigor with adventurous problem-solving.
11 years of coding experience
6 years of employment as a software developer
Vienna University of TechnologyPostgraduate Degree Researcher Professional Development, Postgraduate Degree Researcher Professional Development at University of StrathclydeMaster of Science (M.Sc.) Applied Computer Science, Master of Science (M.Sc.) Applied Computer Science at AGH University of KrakowMaster of Arts - MA General Linguistics, Master of Arts - MA General Linguistics at Jagiellonian University
English, Polish
Github Skills (65)
datasets10
huggingface10
speech10
foundation-models10
conventional-commits10
training-data10
computer-vision10
chatbot10
artificial-intelligence10
language-modeling10
tf-idf10
semantic-versioning10
pandas9
robotics9
multimodal9
Programming languages (5)
Github contributions (5)
WojciechKusa/clinical-trials
Jul 2022 - Jun 2023
Parsers for clinical trials data from clinicaltrials.gov
Contributions:2 releases, 10 reviews, 39 PRs in 11 months
parserclinical-trials
ProjectDossier/intents_labelling
Feb 2022 - Sep 2023
[SIGIR 2022] ORCAS-I: Queries Annotated with Intent using Weak Supervision
Contributions:1 release, 2 reviews, 11 PRs in 1 year 6 months
weak-supervisionnlpmachine-learningintents-labellingpytorch
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