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Piotr Szymański

Piotr Szymański

Assistant Professor at Wrocław University of Science & Technology; Machine Learning Engineer in Avaya Inc.; - Chairman of the Society for Beautification of the City of Wrocław; Vice-charmain of the Wrocław’s District Council of Brochów

Stanford University


Piotr Szymański is an assistant Professor at the Department of Computational Intelligence at the Wrocław University of Science and Technology and a Machine Learning Engineer at Avaya. Professionally involved in data analysis, statistical reasoning, geospatial data science, natural language processing, machine learning and artificial intelligence techniques. He is an alumni of the Top 500 Innovators program at Stanford University, worked in several institutions over the years incl. Hasso Plattner Institute in Potsdam, Josef Stefan Institute in Ljubljana, University of Notre Dame and University of Technology Sydney. He is the author of scikit-multilearn, a popular python library for multi-label classification. Apart from multi-label classification, Piotr published papers concerning urban data, traffic analysis and bridging the gap between ASR and NLP in spoken language understanding systems. In his free time he is an urban activist in Wrocław and a member of a city district council.


  • Artificial Intelligence
  • Computational Linguistics
  • Information Retrieval


  • PhD in Computer Science, 2020

    Department of Computational Intelligence, Wrocław University of Science and Technology

  • PhD in Mathematics (abandoned), 2009-2012

    Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology

  • MSc BEng in Computer Science, Algorythm Analysis, 2009

    Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology












Jan 2017 – Present California

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying


University X

Jan 2016 – Dec 2016 California
Taught electronic engineering and researched semiconductor physics.


Neural Networks and Deep Learning

See certificate

Blockchain Fundamentals

Formulated informed blockchain models, hypotheses, and use cases.
See certificate

Object-Oriented Programming in R: S3 and R6 Course

See certificate

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