Curriculum Vitae

  • 2002-2005 PhD studies at Ecole Polytechnique Fédérale de Lausanne, CH
  • 2005-2007 Swiss National Science Postdoctoral Associate, New York University, NY, USA
  • 2007-2010 Truman Fellow, Sandia National Laboratories, NM, USA
  • 2011-2013 Staff Scientist, Argonne National Laboratory, IL, USA
  • 2013-2015 Assistant professor (SNF grant), University of Basel, CH
  • 2016 Associate professor, Free University Brussels, BE
  • 2016-2019 Assistant professor (tenure track), University of Basel, CH
  • 2019-2020 Associate professor, University of Basel, CH
  • since 2020 University professor, University of Vienna, AT
  • Publishing
  • Since 2019: Editor in Chief Machine Learning: Science and Technology
  • Since 2019: Associate Editor Science Advances
  • 2014-2019: Editorial Board member Scientific Data
  • Google Scholar (Sep 4 2020): more than 90 papers with over 8700 citations, h-
  • index: 47, i10-index: 79, <a href="https://scholar.google.ch/citations?user=LFFk3rkAAAAJ" target="_blank">scholar.google.ch/citations</a>
  • Prizes, Awards, Grants
  • 2005 Swiss National Science postdoctoral fellowship
  • 2007 Distinguished Harry S. Truman Fellowship, Sandia National Laboratories
  • 2010 Award for excellence, LDRD, Sandia National Laboratories
  • 2011 Navigating Chemical Compound Space program, IPAM, UCLA, USA
  • 2012 Swiss National Science professorship
  • 2012 US-Department of Energy Glue Funding, Co-PI with Andy Millis (Columbia
  • University) and Peter Littlewood (Argonne National Laboratory)
  • 2013 Thomas Kuhn Paradigm Shift Award, American Chemical Society (Sponsored
  • by OpenEye Research)
  • 2013 MARVEL National Competence Center on Research, Co-PI with lead-PI being
  • Nicola Marzari (EPFL)
  • 2013 INCITE CPU Award from US Department of Energy (130M CPU hours)
  • 2014 PhD student grant from European Offce of US Air Force Research
  • 2015 Unrestricted grant from Google
  • 2016 FWO Odysseus grant
  • 2016 Swiss National Science Foundation project grant
  • 2016 Swiss National Science Foundation Big Data grant
  • 2017 ERC Consolidator grant H2020
  • 2018 Feynman Prize Theory
  • 2020 co-PI, TREX H2020 project
  • 2020 co-PI, BIG-MAP H2020 project