Team

Team members

Miguel Barreto
Co-Founder
Ph.D. in Information Systems Miguel is a seasoned data scientist with 15 years of experience in academic and industry projects. This background give him a perfect vision of the data science landscape and he apply this vision directly to business. His leadership has been rewarded with the “Venture leaders prize (2015)” and to be elected for the Magazine L’Hebdo as one of the 100 people that will build the Switzerland of tomorrow (2015).
Diogo Leite
Co-Founder
M.Sc. in Information and Knowledge Systems Diogo has a master in Information and Knowledge Systems. His Master thesis topic was machine learning applied to predicting the interaction between two organisms based only on their genomic information. He is the author of several publications on computational prediction of bacteria relationships through omics data analysis and machine learning.
Xavier Brochet
Co-Founder
Ph.D. in Bioinformatics Xavier has a Ph.D in Bioinformatics from the University of Montpelier, France. He is a senior bioinformatician with over 12 years of experience. He has worked in the most renowned bioinformatics institutes in Europe including Swiss Institute of Bioinformatics, European Bioinformatic Institute (England), National Center for Scientific Research (France) among others.

Scientific advisory board

Grégory Resch, PhD
Department of Fundamental Microbiology, University of Lausanne
Project Director and Group Leader Phage and phage-lysin therapy. Dr. Gregory Resch has been working in the field of new antimicrobial development since more than 15 years, with a peculiar interest in original pathogen-specific strategies. Two of these approaches include bacteriophage therapy (or phage therapy), and phage-lysin therapy.
YokAi Que, PDPhD
Department of Intesive Care Medicine, Bern University Hospital (Inselspital), Bern
Senior Physician The core of the research of Dr Que’s group is to conceive, elaborate and/or test novel strategies to combat complex infections, with the ultimate goal of uncovering novel strategies to fight the increasing threat of antibiotic resistance
Prof. Carlos Peña, PhD
Institute for Information and Communication Technologies, University of Applied Sciences and Arts of Western Switzerland, HEIGVD
Group leader Computational Intelligence for Computational Biology Its research focuses on the development of computational intelligence methodologies and their application to real world problems, specially those related with life sciences and biomedical engineering involving data analysis and predictive modeling.