Mario Vincenzo Tomasello, Dr.
About Mario Vincenzo Tomasello, Dr.
Dr. Mario Vincenzo Tomasello is a Director and Data Scientist at UBS, specializing in data mining and systems modeling. He has extensive experience in data analytics and forensic technology, with a strong academic background including a Ph.D. from ETH Zurich.
Current Role at UBS
Mario Vincenzo Tomasello serves as Director and Data Scientist at UBS, a position he has held since 2021. In this role, he focuses on data science applications, leveraging his expertise to transform complex datasets into actionable insights. His work involves programming, analysis, and advanced data visualization techniques to support decision-making processes within the organization.
Previous Experience at UBS
Prior to his current role, Tomasello worked at UBS as an Associate Director and Data Scientist from 2019 to 2021. During this period, he contributed to various data-driven projects, enhancing the firm's analytical capabilities and supporting its strategic initiatives in the financial sector.
Professional Background
Tomasello has a diverse professional background in data analytics and consulting. He worked at EDGE Strategy AG as a Client Adviser and Data Analytics Specialist for nine months in 2016-2017. Following this, he joined EY as a Senior Consultant in Forensic Technology from 2017 to 2019, where he applied his analytical skills to forensic investigations. He also served as a Postdoctoral Researcher at ETH Zurich from 2015 to 2016.
Education and Expertise
Tomasello holds a Doctor of Philosophy (Ph.D.) from ETH Zurich, where he studied from 2011 to 2015. He also earned a Master of Science (M.Sc.) from the University of Catania and a Master's degree from Bocconi University. His academic journey includes honors studies at Collegio di Milano and Scuola Superiore di Catania. His expertise lies in data mining, systems thinking, and theoretical modeling of systems' formation and evolution.
Research and Interests
Tomasello's research interests encompass technology, environment, physics, economy, society, and sustainability. He focuses on transforming real-world data into meaningful information and computing indicators for systems' performance and resilience. His approach integrates systems thinking as a foundational element in both his studies and professional work.