Position: Ph.D. Candidate
Field of interest: Deep Reinforcement Learning in Economics, Costly Information
Membership: Macroeconomics and Econometrics, PhD Candidates
Contact
Office: 602
Email: lukas [DOT] janasek [AT] fsv [DOT] cuni [DOT] cz
Phone:
Available: Feel free to write me an email
More information
PhD study
Tutor: doc. PhDr. Jozef Baruník Ph.D.
Studying from: 2021
PhDr examination:
Final exam:
Dissertation Proposal defence:
Dissertation defence:
Current work:
Dissertation topic:
Deep Reinforcement Learning and Economic Behavior
Disertation abstract:
See my individual study plan below
Optional courses:
Quantitative Methods in Macroeconomics and Finance I
CV
Education
2021 - present: Ph.D; IES FSV UK; Economics and Finance
2019 - 2021: prg.ai minor
2019 - 2021: Master's degree; IES FSV UK; Economics and Finance
2018: Erasmus+; University of Mannheim Department of Economics
2016 - 2019: Bachelor’s degree; IES FSV UK; Economics and Finance
Job history
Teaching Assistant:
2021/2022 WS: Advanced Econometrics
Research Assistant:
2018: Volební Lavička
2020 - present: Data Scientist, Taran AI
2019: Intern - Data Scientist, MALL Pay
Awards and prizes
2021: Deloitte Outstanding Thesis Award for Master’s Thesis
Research profiles
ORCID, Publons
Topics for supervision
Bachelor theses
I will be happy to supervise topics with an application of machine learning and deep (reinforcement) learning in economic modeling or topics related to the active acquisition of information.
I strongly prefer theses written in English and LaTeX.
Master theses
I will be happy to supervise topics with an application of machine learning and deep (reinforcement) learning in economic modeling or topics related to the active acquisition of information.
I strongly prefer theses written in English and LaTeX.
