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Silvana Pesenti is an Associate Professor at the University of Toronto, having joined in 2019. She received her PhD from Bayes Business School (formerly CASS) in London and holds both a BSc and MSc in Mathematics from ETH Zurich. Her research interests include actuarial science and mathematical finance, particularly focusing on dynamic decision making, model uncertainty, portfolio optimization, risk measures, and dependence modeling. In 2022, she was recognized as a Rising Star in Quantitative Finance by Risk.net for her contributions in portfolio optimization. Her paper titled “Reverse Sensitivity Testing: Taking a Break from the Model?” was awarded the 2020 Peter Clark Prize, presented for outstanding academic papers by the Institute and Faculty of Actuaries (IFoA). In 2019, Silvana received the Dorothy Shoichet Women Faculty Award for Excellence. Her research is supported by various organizations, including the NSERC, the Data Science Institute, the Canadian Statistical Sciences Institute (CANSSI), and the Canadian Institute of Actuaries.
University of Toronto • Toronto, ON
Joined the University of Toronto as an Associate Professor in the Department of Statistical Sciences.
Department of Sociology