Piotr Szymański PhD
Data Scientist, Machine Learning Engineer, Urban Activist
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, and pqdm - a parallel processing wrapper for tqdm.
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 - chairing the Society of Beautification of the City of Wrocław, and a member of Wrocław city district council of Brochów.
Recently he became a member of the international group which models coronavirus spread: MOCOS, which publishes regular reports about the state of the pandemic in Poland and also analysis of related phenomena.
Education
Wroclaw University of Science and Technology | Wrocław, Poland
PhD, Machine Learning | 2013 - 2020
Wroclaw University of Science and Technology | Wrocław, Poland
PhD (finished study programme without defense), Mathematics, Theoretical Computer Science, Analysis of Algorithms | 2009 - 2012
Hasso Plattner Institue | Potsdam, Germany
PhD, Applied mathematics, cryptography, computer science | 2010 - 2010
Wroclaw University of Science and Technology | Wrocław, Poland
MSc, Computer Science | 2004 - 2009
Experience
Avaya | Machine Learning Engineer | June 2017 - present
Wroclaw University of Science and Technology | Research Assistant / Principal Investigator | October 2009 - April 2023
Admitster | Data Scientist, Full Stack Developer | 2013 - June 2016