I am currently a Research Scientist at DeepMind, where I work on novel methods for Deep (and Reinforcement) Learning. If you are interested in my research please take a look at my research page and feel free to contact me with any questions.

I am also a member of Group of Machine Learning Research (GMUM).

• Paul Erdős: 4
• Edsger W. Dijkstra: 4
• Yoshua Bengio: 2
• Geoffrey E. Hinton: 2
• Yann LeCun: 2
• Andrew Y. Ng: 2
• Jürgen Schmidhuber: 2

Short CV

• education
• scholarshipsprizes
• workexperience

Education

• PhD with distinction, Machine Learning
  "Renyi's quadratic entropy in classification"
  Faculty of Mathematics and Computer Science, Jagiellonian University (2011-2015)
• MSc, Theoretical Computer Science
  "Automated reconstruction of three-dimensional neuron structure from confocal microscopy image stack based on artificial neural networks"
  Faculty of Mathematics and Computer Science, Jagiellonian University (2006-2011)

Experience

• 
  Research Scientist (Jul, 2017-now)
  DeepMind, London, UK
• 
  Research Engineer (Jan, 2016-Jul, 2017)
  DeepMind, London, UK
• 
  Research and teaching assistant (Oct, 2014-Jun, 2017)
  Jagiellonian University, Krakow, Poland
• 
  Machine learning engineer (Jul, 2014-Dec, 2014)
  Samsung R&D Institute, Krakow, Poland
• 
  Text mining researcher (Apr, 2011-Jun, 2011)
  inLevel, Krakow, Poland

Scholarships and prizes

• Prize for scientific achievements (2015)
  Rector of Jagiellonian University
• Scholarship from pro-quality grants fund
  Polish Ministry of Science (2014-2015)
• 4th place in TRADESHIFT challenge (2014)
  International machine learning/data mining competition hosted on the kaggle.com platform
• 5th place in CONNECTOMICS challenge (2014)
  International machine learning/data mining competition hosted on the kaggle.com platform
• Scholarship from pro-quality grants fund (2013-2014)
  Polish Ministry of Science
• Scholarship from pro-quality grants fund (2012-2013)
  Polish Ministry of Science
• Phd Scholarship (2011-2015)
  ŚSDNM European Union Programme