Education

• 2016 - PhD in Economics, Central European University
• 2014 - 2016 MA in Economics, Central European University (with distinction)
• 2011 - 2014 BA in Applied Economics, Corvinus University of Budapest (with distinction)
• 2010 - 2016 BA in Business and Management, Specialization in Environmental Management, Corvinus University of Budapest (pre-degree certificate)

Work experience

• 2022 - Senior Data Scientist at Spreadmonitor
  • Energy market forecasting and simulation in Python
• 2017 - Research Assistant at CEU Microdata
  • Data processing and analysis in Python
• 2014 April - October - Intern at Deutsche Bank AG Hungary Branch
  • Custody and Securities Operations
  • Corporate Treasury Sales
  • Global Network Banking

Research

The Shapley Value in Machine Learning

Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Olivér Kiss, Sebastian Nilsson, Rik Sarkar. The Shapley Value in Machine Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Survey Track. Pages 5572-5579

Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Guzmán López, Nicolas Collignon and Rik Sarkar. PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models, Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp 4564–4573, 2021

Little Ball of Fur: A Python Library for Graph Sampling

B. Rozemberczki, O. Kiss and R. Sarkar. Little Ball of Fur: A Python Library for Graph Sampling, Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp 3133–3140, 2020

Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs

B. Rozemberczki, O. Kiss and R. Sarkar. An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs, Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp 3125-3132. 2020.

The black and white score gap after the no child left behind act

B. Rozemberczki and O. Kiss. The black and white score gap after the no child left behind act, BCE 2016.

Externáliák hatékony szabályozása kétoldalú monopol piacokon [Only available in Hungarian]

O. Kiss. Externáliák hatékony szabályozása kétoldalú monopol piacokon, BCE 2013.

Tender value and the extent and form of corruption in public procurements : a game theory approach

O. Kiss. Tender value and the extent and form of corruption in public procurements : a game theory approach, CEU ETD 2016.

Teaching

Mathematics and Informatics Pre-session for Business Analytics - 2022

Mathematics and Informatics Pre-session for Business Analytics - 2021

Mathematics and Informatics Pre-session for Business Analytics - 2020

Mathematics and Informatics Pre-session for Business Analytics - 2019

Mathematics and Informatics Pre-session for Business Analytics - 2018

Macroeconomic Model Building - 2017-2022

Scholarships, awards

• 2018 - Outstanding Teaching Assistant (Central European University, Department of Economics and Business)
• 2018 - Outstanding Academic Achievement Award for First-year Doctoral Students (Central European University)
• 2017 - National Scientific Students’ Associations Conference - Labor Economics Section - 2nd place
• 2014 - Outstanding Student of the BA Program (Corvinus University of Budapest, Applied Economics BA)
• 2013 - Scholarship of the Republic
• 2013 - Scientific Students’ Associations Conference - Competition Policy Section - 2nd place

Computer skills

• Development experience in Python
• Research experience in STATA, MATLAB, LaTeX

Languages

• I’m fluent in English and Hungarian
• I also understand/speak (less and less) German