Attila Csikász-Nagy

Attila Csikász-Nagy

Senior Lecturer in Computational and Systems Biology

King's College London

Randall Division of Cell and Molecular Biophysics

Institute of Mathematical and Molecular Biomedicine

email: attila.csikasz-nagy@kcl.ac.uk

Education:

Pázmány Péter Catholic University - Habilitation, 2018 in Biology

Hungarian Academy of Sciences - DSc, 2018 in Biology

Budapest University of Technology and Economics - PhD, 2000 in Chemistry

Budapest University of Technology and Economics - MSc, 1998 in Bioengineering

Professional Experience:

2019 – Present: Full Professor Pázmány Péter Catholic University, Faculty of Information Technology and Bioinics, Hungary

2012 – Present: Senior Lecturer in Computational and Systems Biology, Randall Division of Cell and Molecular Biophysics and Institute of Mathematical and Molecular Biomedicine, King’s College London, UK

2015 – 2019: associate professor Pázmány Péter Catholic University, Faculty of Information Technology and Bioinics, Hungary

2012 – 2015: Group Leader, Computational Biology Department, Research and Innovation Centre, Fondazione Edmund Mach, Italy

2011 – 2012: Principal Investigator, The Microsoft Research – University of Trento Centre for Computational and Systems Biology, Italy

2007 – 2010: Researcher, The Microsoft Research – University of Trento Centre for Computational and Systems Biology, Italy

2007 – 2007: Main Research Fellow, Hungarian Academy of Sciences, Hungary

2004 – 2007: Assistant Professor, Molecular Network Dynamics Research Group (led by Béla Novák), Budapest University of Technology and Economics, Hungary

2004 – 2004: Postdoctoral fellow, Virginia Tech, Blacksburg, VA, USA, (with John J. Tyson)

2003 – 2003: Junior fellow, Computational Molecular Biology focus group, Collegium Budapest, Hungary.

2000 – 2005: Postdoctoral fellow, Dept. of Agricultural Chemical Technology, Budapest University of Technology and Economics, Hungary (with Béla Novák).

Publications:

Detailed list at PubMed, GoogleScholar or ORCID.