Cristiano Malossi  Cristiano Malossi photo         

contact information

Research Staff Member, Foundations of Cognitive Solutions
Zurich Research Laboratory, Zurich, Switzerland


Professional Associations

Professional Associations:  ACM  |  Society for Industrial and Applied Mathematics

more information

More information:  Linkedin  |  ResearchGate  |  Google Scholar  |  Twitter



Cristiano Malossi received his B.Sc. in Aerospace Engineering and his M.Sc. in Aeronautical Engineering from the Politecnico di Milano (Italy) in 2004 and 2007, respectively. After a year of focus on computational geology problems in collaboration with ENI, he moved to Switzerland where in 2012 he got his Ph.D. in Applied Mathematics from the Swiss Federal Institute of Technology in Lausanne (EPFL), with a thesis focused on the development of algorithms and mathematical methods for the numerical simulation of cardiovascular problems. After winning the IBM Research Prize for his PhD thesis, in July 2013 Cristiano joined IBM Research - Zurich in the Foundations of Cognitive Solutions group. Cristiano is a recipient of the 2015 ACM Gordon Bell Prize and 2016 IPDPS Best Paper Award. Since 2017 he is coordinator of the FET-H2020 Open transPREcision COMPuting (OPRECOMP) project. Since 2018 he is Research lead of NeuNetS.

His main research interests include: AI, AI Automation, Deep Learning & Machine Learning, High Performance Computing, Transprecision & Energy-Aware Computing, Numerical Analysis, Computational Fluid Dynamics, Aircraft Design, Cardiovascular Simulations, and Computational Geology.

Scientific Awards:
2016 - IEEE/ACM IPDPS Best Paper Award
2015 - IBM Pat Goldberg Memorial Best Paper Award
2015 - ACM Gordon Bell Prize

2013 - IBM Research Prize for Computational Science (for the PhD thesis)

Research in the News:

  • AI for AI: in the middle of the future (Migros Magazin Cover, 3-millions printed copies - May 2019)
  • Radical computing rethink to save time and energy (EC Research and Innovation Success Stories - February 2019)
  • NeuNetS: Automating Neural Network Model Synthesis for Broader Adoption of AI (IBM Blog - December 2018)
  • TAPAS: Frugally Predicting the Accuracy of a Neural Network Prior to Training (IBM Blog - December 2018)
  • Restoring Balance in Machine Learning Datasets (IBM Blog - October 2018)
  • Come funzionano le reti neurali (MaddMaths! - October 2017)
  • The future belongs to cognitive systems (SIX Connect - May 2017)
  • Gordon Bell Prize Winners Simulate Earth's Mantle (IBM Systems Magazine - November 2016)
  • Data Centric Systems, la frontiera del supercalcolo (01net. - 6 May 2016)
  • Trade talk: Serial solver (Nature Careers Q&A - 14 April 2016)
  • Finding job satisfaction in high performance computing (Naturejobs blog - 13 April 2016)
  • SC15 Gordon Bell Prize Winners (PR Newswire; IBM Blog; HPCWire - 20 November 2015)
  • Meet an IBM Researcher (IBM Blog - 6 November 2015)
  • IBM Research Prize for Computational Science (EPFL News - 10 October 2013)


Selected publications:


Code and tools:

  • NeuNetS: Neural Network Synthesizer (IBM Cloud)
  • OPRECOMP: EU Project on Transprecision Computing (GitHub)
  • BAGAN: Keras implementation of BAlancing GAN (IBM GitHub)
  • IBM Optimized High Performance Conjugate Gradient (IBM GitHub)
  • LifeV: Library for the numerical solution of PDEs with FEM (BitBucket)