WhiteSpace Solutions
Federica Pasquali is an accomplished algorithm engineer and interim product owner at White Space Solutions since April 2022. Prior experience includes serving as a Ph.D. student at Nikhef from April 2018 to March 2022, focusing on big data analysis for the ATLAS experiment at CERN, specifically in optimizing machine learning methods, statistical interpretation of data, and result combination. Prior to this, Federica worked as an undergraduate student researcher at CERN from October 2016 to July 2017 on a master thesis project related to B-tagging at high energy without tracks using the ATLAS detector, and held a position as a physics lab assistant at Università degli Studi di Roma 'La Sapienza' in March 2016. Federica is currently pursuing a Doctor of Philosophy in Physics at the University of Amsterdam, with an expected graduation in March 2024, after obtaining a master's degree in high energy physics and a bachelor's degree in physics from Sapienza Università di Roma.
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WhiteSpace Solutions
High stake decisions are often very complex: huge option spaces, many uncertainties and constraints and often competing value drivers. Still too often we rely on time consuming, iterative and manual workflows and introduce various types of bias, or simply run out of time to complete the decision analysis. This leaves material value on the table. One of the latest AI developments, Game AI, mimics human ability to learn from experience and has become famous for achieving super human performance in sophisticated games such as Chess, Go and Poker. WhiteSpace Solutions uses this Game AI to support domain experts and senior leaders to make radically better complex decisions. Their approach demonstrates that augmented decision making through Game AI can add significant business value and truly transform the ways of working, while humans remain in control.