Professor in Biomedical Image and Data Analytics, at Sorbonne University, Paris, France, I am PI of the INRIA Aramis team, at the Paris Brain Institute (Institut du Cerveau - CNRS, Inserm, AP-HP) co-located with the Pitié-Salpêtrière Hospital in Paris. My areas of competency are Medical & Biomedical Image & Data Analytics as Pattern Recognition (including Machine Learning and Deep Learning). My research is focusing on Computational Pathology and its Integrative aspects (Integrative Digital Pathology). Dr.habil. (2006) and Ph.D. (1997) at Univ. of Franche-Comté, Besançon, France, M.Sc. at the University Belfort-Montbéliard, France and Engineer's degree (1992) at the “Politehnica” University from Timisoara, Romania, I was Project Manager at General Electric Energy Products - Europe, before joining, in 1999, a chair of Associate Professor at University of Besançon and Research Fellow at FEMTO-ST Institute (endorsed by the French National Research Center - CNRS), Besancon, France. Starting from 2005, I participated to the creation and the development of the International Joint Research Unit (UMI CNRS) IPAL (Image & Pervasive Access Lab), being the Director (2008 to 2014) of this international research venture between the Sorbonne University, the French National Center for Scientific Research (CNRS), the National University of Singapore (NUS), the Agency for Science, Technology and Research (A*STAR), the Univ. Grenoble Alpes and the Institut Mines-Telecom, in Singapore. Between 2009 and 2015, I was Full Professor at the School of Computing, National University of Singapore. In 2010, we created the R&D committee of the French Chamber of Commerce in Singapore (FCCS), being the first co-president (2010 to 2014) of this active committee. In 2012, with my team and under my leadership, we organized the first international medical challenge/benchmark in digital pathology. This challenge, entitled “Mitosis Detection in Breast Cancer Histological Images” (MITOS 2012), was organized in the framework of the 21st International Conference on Pattern Recognition - ICPR 2012, which was hold between in Nov. 2012, in Tsukuba, Japan. After this first success, we organized a second event, in the area of Atypia assessment in Breast Cancer Histological Images (ATYPIA 2014), in the framework of ICPR 2014, 22nd International Conference on Pattern Recognition, in Aug 2014, Stockholm, Sweden. These initiatives pathed the way towards a translational digital pathology, on the move now, in Europe and USA, towards a daily use in routine diagnostic (the first FDA approval came out in 2017, in this sense). Member of the Advisory Board of the European Society of Digital and Integrative Pathology since 2020, after being its President (2018-2020) and its vice-President (2016-2018), I participated to the creation and the growth of this academic society, as a continuation of my consistent involvement in this area, since the early stages of its development, in 2006. I have been involved in the organisation of the European Conference of Digital Pathology in Paris (ECDP 2014) and I participated to ECDP conferences since, mainly as Member of the Scientific Committee. Between 2014 and 2016, I was a member of the first Executive Board of the University Institute of Health Engineering of the Sorbonne University, being also co-Director and co-initiator of a new B.Sc. Minor, dedicated to Innovation in Public Health. During the same period, I was leading the Cancer Theranostics research team at the Bioimaging Lab, a joint research unit created between Sorbonne University, CNRS and INSERM (French National Institute of Health and Medical Research). Between 2016 and 2018, I was Full Professor at the Pontifical Catholic University of Peru, being able to attract MICCAI 2020 (4-8 Oct. 2020) to Lima, Peru – for the first time in Latin America (I was the general co-chair of this conference). Since February 2018, I am a member of MICCAI (Medical Image Computing & Computer Assisted Intervention) Board of Directors.