Personal

• Place and date of birth: Budapest, 12th August, 1983.
• Nationality Hungarian
• E-mail: kerepesics [at] gmail.com
• Personal webpage: http://info.ilab.sztaki.hu/~kerepesi/

Education

• 2001–2008: Majoring in Mathematics (specialized in pure matehamatics and specialized in financial mathematics), University of Szeged, Hungary
• 2013–2016: PhD School of Computer Science, Eötvös Loránd University, Budapest, Hungary

Research Areas

• Data mining in biology (aging, metagenomics, genomics, connectomics)
• Computer modelling of biological systems (aging, immune system)

Professional

• 2016- research assistant, Data Mining and Search Group, Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI)

Teaching

• 2016-2017 Bioinformatics, Department of Computer Science, Eötvös Loránd University, Budapest, Hungary.
• 2013-2015 Finite Mathematics 1, Department of Computer Science, Eötvös Loránd University, Budapest, Hungary
• 2013-2014 Probability Theory and Statistics, Department of Probability Theory and Statistics, Eötvös Loránd University, Budapest, Hungary
• 2014-2015 Algorithmic Issues in Bioinformatics, Department of Computer Science, Eötvös Loránd University, Budapest, Hungary
• 2016- Bioinformatics, Department of Computer Science practice, Eötvös Loránd University, Budapest, Hungary
• 2016- Combinatorics 1, Budapest Semesters of Mathematics

Awards

• 2017 Gyula Farkas memorial prize, János Bolyai Mathematical Society, Hungary.
• 2016 Scientific Award of Young Scientists, Faculty of Informatics, Eötvös Loránd University, Hungary.

Publications

• 2018:
  
  -Kerepesi C, Szalkai B, Varga B, Grolmusz V Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain Neuroscience Letters, Vol 662, pp. 17-21, (2018).
• 2017:
  
  -Kerepesi C, Szalkai B, Varga B, Grolmusz V The braingraph.org database of high resolution structural connectomes and the brain graph tools Cognitive Neurodynamics, Vol 11, Issue 5 (2017).
  
  -Kerepesi C, Grolmusz V The "Giant Virus Finder" Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys Archives of Virology, Vol 162, Issue 6, pp 1671–1676 (2017).
  
  -Bakacs T, Kristof K , Mehrishi J, Szabados T, Kerepesi C, Regoes E, Tusnady G Autoimmune T-cells induced by low dose immune checkpoint blockade could be a powerful therapeutic tool in cancer through activation of eliminative inflammation and immunity Internal Medicine Review, Vol 3, No 4 (2017).
  
  -Szabó A, Korponai K, Kerepesi C, Somogyi B, Vörös L, Bartha D, Márialigeti K, Felföldi T Soda pans of the Pannonian steppe harbor unique bacterial communities adapted to multiple extreme conditions Extremophiles, Vol 21, Issue 3 (2017).
  
  -Szalkai B, Kerepesi C, Varga B, Grolmusz V Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0 Cognitive Neurodynamics, 11(1), pp. 113-116, (2017).
• 2016:
  
  -Kerepesi C, Szabó JE, Papp-Kádár V, Dobay O, Szabó D, Grolmusz V and Vertessy BG Life without dUTPase Frontiers in Microbiology, 7:1768 (2016).
  
  -Kerepesi C, Szalkai B, Varga B, Grolmusz V How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain PLOS ONE, 11(6): e0158680 (2016).
  
  -Kerepesi C, Grolmusz V Evaluating the Quantitative Capabilities of Metagenomic Analysis Software Current Microbiology, Volume 72, Issue 5, pp 612-616 (2016).
  
  -Kerepesi C, Grolmusz V Giant viruses of the Kutch Desert Archives of Virology, Volume 161, Issue 3, pp 721-724 (2016).
• 2015:
  
  -Szalkai B, Kerepesi C, Varga B, Grolmusz V The Budapest Reference Connectome Server v2.0 Neuroscience Letters, Volume 595, Pages 60–62 (2015).
  
  -Kerepesi C, Szalkai B, Grolmusz V Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver Microbial Ecology, Volume 69, Issue 3, pp 695-697 (2015).
• 2014:
  
  -Kerepesi C, Bánky D, Grolmusz V AmphoraNet: The webserver implementation of the AMPHORA2 metagenomic workflow suite Gene, Volume 533, Issue 2, Pages 538-540 (2014).