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Silvana Pesenti

Assistant Professor Insurance Risk Management, University of Toronto

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Posted on February 11, 2021February 11, 2021

Celebrating International Day of Women and Girls in Science | 2021

… and many more women in statistical sciences in Ontario, Canada: https://canssiontario.utoronto.ca/celebrating-women-in-statistics-in-ontario/

Posted on November 15, 2020November 15, 2020

2020 Peter Clark Best Paper Prize

Incredibly honoured to have received the 2020 Peter Clark Best Paper Prize together with my co-authors Andreas Tsanakas and Pietro Millossovich for our work on sensitivity analysis of models using in insurance risk management.

Posted on May 9, 2020May 9, 2020

SWIM featured in The Actuary

Our R-package SWIM is featured in The Actuary, the magazine for British actuaries, read the online version or TheActuary.pdf.

Posted on December 17, 2019December 28, 2019

Dorothy Shoichet Award

Incredibly honoured to be awarded the Dorothy Shoichet Women Faculty Award of Excellence and featured in the University of Toronto news. Read the full story about the award and my research here.

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One World Actuarial Research Seminar (OWARS) Series

If you’re in interested in actuarial science, check the online OWARS seminar series, of which I’m one of organiser of.

Actuarial Science Group, University of Toronto

Find out more about the actuarial research group at the University of Toronto:  https://actsci.utstat.utoronto.ca/

Research Interests

My research interests include, but are not limited to, quantitative risk management, dependence uncertainty, sensitivity analysis for insurance, risk measures, stress testing and systemic risk.

Research Funding

My research is supported by Natural Sciences and Engineering Research Council of Canada (DGECR-2020-00333, RGPIN-2020-04289), and the Connaught New Researcher Award.

Together with Prof. Mélina Mailhot, I lead the CANSSI Collaborative Research Team:
“Natural Catastrophes: Are Canadian Insurers Ready for “The Big One”?“

Joining my team

I am seeking students at all levels with strong mathematical background and interest in risk management in the intersection of actuarial science and financial mathematics. PhD applications need to be submitted via the Department of Statistical Sciences: https://www.statistics.utoronto.ca/graduate/phd-application-information.

Relevant Links:

University of Toronto Discovery Research

Department of Statistical Sciences

SAMO | Sensitivity Analysis of Model Output
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