I am studying for a Master’s Degree in Theoretical Computer Science at Faculty of Mathematics and Physics, Charles University in Prague. My research topic is Approximative Bayes methods for belief monitoring in spoken dialogue systems, my thesis advisor is Filip Jurčíček.

I used to organize Czech correspondence seminar in programming. I am still interested in computer science education.

I’ve spent this summer working with NLP Research team at Google Switzerland, where I worked on opensourcing TopicSum summarizer and on some other cool projects.

Contact

E-mail / Google talk / xmpp: david@marek.me

Projects

Vystadial

The goal of the project is to study and improve statistical methods for learning of statistical models used in complex dialogue systems. My task is to develop approximative methods for belief state update. The project is lead by Filip Jurčíček and we work on it together with Matěj Korvas, Ondřej Dušek, Ondřej Plátek and Lukáš Žilka.

Prak

Prak stands for Programmers Academy, this project was created to promote computer science among Czech high school students. Our goal is to create an online framework for programming courses similar to codecademy, udacity and other education startups. I work on this project with my friends Lukáš Lánský, Jiří Maršík and Tomáš Jakl. We are supported by Faculty of Mathematics and Physics.

Software

E-Puck library

Python library for controlling e-puck robot remotely from a PC. Developed as a part of my Bachelor’s thesis. It is used in Evolutionary Robotics course.

TopicSum

Opensourced TopicSum summarizer [Haghighi, 2009] and modified to use data from Enrycher. This summarizer is used for summarizing news articles, it uses topic model for selecting best sentences from an article to add to summary. Used in RENDER project in collaboration with Institut “Jožef Stefan” for diversified news search engine.

Publications

Thesis

Controlling e-puck robot in Python, Bachelor thesis, Faculty of Mathematics and Physics, Charles University in Prague, 2011.