Physicist with extensive Data Science experience and a passion for teaching complex subjects

Name: Valerio Rossetti, PhD

Age: 35

Experience: 10+ Years

Main Skills: Data Science & Teaching


Phone: +41 76 267 13 25


Available for Consulting Work


Dr. Valerio Rossetti started his professional carreer as a particle physicist at CERN where he worked for 8 years on the ATLAS experiment. In his PhD thesis, he searched for the possible production of dark matter in particle collision data and won the "Springer award for outstanding doctoral work". As a postdoctoral researcher, he continued analysing massive amounts of data using state-of-the-art machine learning. He also took positions of responsibility to coordinate teams of around 20 researchers.

In 2016, he joined the Quant team at EY Geneva. He brought his expertise in data and AI into the most challenging projects that involved machine learning and fraud-detection for a large international Swiss bank.

Since 2018, he provides data and AI solutions for his clients. As an example, he developed tools to extract information from scanned images. Such tools have been used both in healthcare research and in financial audit for the digitization of paper documents, reducing the costs and enhancing the accuracy.

He also worked on automation solutions for several departments of a large international Swiss bank. With these solutions, the time needed for the production of reporting documents was reduced by a factor 1000.

He has a passion to teach very complex subjects in simple terms. That is why he enjoys to give classes at the "Haute Ecole de Gestion" in Geneva and provide training classes for professionals who want to boost their technical skills.

He is also a teacher in the private school Athena near Geneva. This school is specialized in intellectually gifted students. There, he teaches robotics and computer science. He particularly enjoys the robotics classes in which he teaches Arduino technology to students as young as 8 years old.

95% Data Science
90% Teaching
80% Machine Learning
70% Triathlon