About Statoo

Prof. Dr. ès sc. Diego Kuonen

Founder, CEO COO

PhD in Statistics, Chartered Statistician (CStat) with the `Royal Statistical Society', Accredited Professional Statistician (PStat) with the `American Statistical Association', and Chartered Scientist (CSci) with the `Science Council', founded Statoo Consulting in 2001

In January 2015 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 26th within Onalytica's global `Big Data 2015: Top 100 Influencers and Brands' list available here. 
Onalytica's 'Big Data 2015:
Top 100 Influencers and Brands' list

In January 2016 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 22th within Maptive's global `Top 100 Big Data Experts to Follow in 2016' list available here. 

In February 2016 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 12th within Onalytica's global `Big Data 2016: Top 100 Influencers and Brands' list available here. 
Onalytica's 'Big Data 2016:
Top 100 Influencers and Brands' list

In February 2016 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 29th within Onalytica's global `Internet of Things (IoT) 2016: Top 100 Influencers and Brands' list available here. 
Onalytica's 'Internet of Things (IoT) 2016:
Top 100 Influencers and Brands' list

In March 2016 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 45th within Onalytica's global `Artificial Intelligence & Machine Learning 2016: Top 100 Influencers and Brands' list available here. 
Onalytica's 'Artificial Intelligence & Machine Learning 2016:
Top 100 Influencers and Brands' list

In May 2017 Prof. Dr. Diego Kuonen, CStat PStat CSci, ranked 26th within Onalytica's global `Big Data 2017: Top 100 Influencers and Brands' list available here. 
Onalytica's 'Big Data 2017:
Top100 Influencers and Brands' list

Prof. Dr. Diego Kuonen, CStat PStat CSci, graduated in 1998 from the `Institute of Mathematics' at the `Swiss Federal Institute of Technology Lausanne' (EPFL) in Switzerland with a Master's degree in Applied Statistics (`MSc in Mathematics'). In 2001 he received, under the supervision of Professor A. C. Davison, a PhD degree in Statistics (`Doctor in Science EPF' - the highest degree delivered at the EPFL). Both degrees were obtained for outstanding works in applied statistics, mainly in the interface of statistics and computer science. He has extensive experience in applying statistical engineering, statistical thinking, statistics, data mining (data science) and big data analytics within large and small companies in Switzerland and throughout Europe. 

In addition, he is also Adjunct Professor of Data Science at the Geneva School of Economics and Management (GSEM) of the University of Geneva, Switzerland, and Founding Director of GSEM's new Master of Science in Business Analytics program. Further information are available here. 

Currently, he is also the principal scientific and strategic big data and data science advisor and consultant for the Directorate, the Board of Management and the `New Data Sources' working group of the Swiss Federal Statistical Office (FSO) in Neuchâtel, Switzerland. 

One of his credos with respect to data-driven business analytics is the wish to fill the gap between academic research and professional business management practice to enable continuous improvement. 

Professional memberships of
Prof. Dr. ès sc. Diego Kuonen

• Senior Member of the `American Society for Quality' (ASQ);
• Elected Member of the `International Statistical Institute' (ISI);
• Fellow of the `Royal Statistical Society' (RSS);
• `American Statistical Association' (ASA);
• `Association for Computing Machinery Special Interest Group on Knowledge Discovery in Data and Data Mining' (ACM SIGKDD);
• `Data Science Association' (DSA);
• `European Network for Business and Industrial Statistics' (ENBIS);
• `Foundation for Open Access Statistics' (FOAS);
• `IEEE Big Data Initiative' (IEEE Big Data);
• `IEEE Internet of Things (IoT) Technical Community' (IEEE IoT);
• `International Biometric Society - Region Österreich-Schweiz' (IBS -ROeS);
• `Institute of Mathematical Statistics' (IMS);
• `International Society for Business and Industrial Statistics' (ISBIS);
• `R Foundation for Statistical Computing' (R Foundation);
• `Swiss Statistical Society' (SSS).