Andreea Minca Associate Professor Cornell University

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Cornell Financial Engineering Manhattan 2022 Future of Finance Conference Speaker Profile: Andreea Minca Associate Professor Cornell University

Andreea Minca is an Associate Professor in the School of Operations Research and Information Engineering at Cornell University.

She is a graduate of the Sorbonne University (PhD in Applied Mathematics) and of the Ecole Polytechnique (Diplôme de l’Ecole Polytechnique).

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In recognition of “her fundamental research contributions to the understanding of financial instability, the quantification and management of systemic risk, and the control of interbank contagion”, Andreea received the 2016 award SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize. This prize recognizes contributions to the mathematical modeling of financial markets and is the highest distinction at the start of a career in the field of financial engineering and mathematics. Andreea is also a recipient of the NSF Career Award (2017), a Fellow of the Global Association of Risk Professionals (GARP) (2014), and a Winner of the AXA Research Fund (2020). She sits on the editorial board of SIAM Journal on Financial Mathematics.

She has been a guest at Imperial College London, where she delivered the CFM-Imperial Distinguished Lectures in 2018, and at London Business School, where she taught in the PhD program.

To research

Andreea Minca studies large systems under uncertainty, especially financial systems, and uses mathematical modeling to derive optimal policies that promote system stability. His main work focuses on structural models of systemic risk, using networks to represent various types of interrelationships. Additionally, his work has been published in leading financial mathematics and OR journals such as Mathematical finance, Finance & Stochastics, SIAM Journal of Financial Mathematics, Operational research and Management sciences.

In addition, his research is based on network analysis, stochastic analysis and game theory and led to a wide range of methodological advances. The study of financial contagion in large systems has led to developments. Moreover, in the asymptotic analysis of diffusions on random graphs with inhomogeneous structures.

She pioneered the use of random graphs to model partial information about interconnections in a financial system. Moreover, it proposed an optimization device under uncertainty on the structure of the network, with application to the management of financial crises.

Finally, his work on bank runs led to the development of a theory on the leverage effect under strategic uncertainty, when credit is provided by agents with heterogeneous beliefs. Moreover, this is based on the study of game balances with a large number of heterogeneous players.

Current research interests

His current interests include analysis of financial and economic networks. Also, as well as clustering algorithms, which can be used to identify system vulnerabilities. Additionally, she is interested in fintech. And particularly in the economic incentives and design behind decentralized finance and stablecoins.

Recently, she was selected as an AXA Reseach Fund Awardee for her project to create technologies aimed at mitigating risks in the wake of the Covid-19 pandemic and strengthen global supply chains.

From a methodological point of view, she is interested in reinforcement learning in mean-field games.

Learn more about his featured research on Complex financial systems.

Pedagogical interests

  • First of all, Financial Engineering.
  • Second, stochastic modeling.
  • Third, approximate dynamic programming.
  • Finally, risk management.

Education

  • Financial Engineering with Stochastic Calculus I, ORIE 5600. Fall 2012, Fall 2013, Fall 2015, Fall 2016, Fall 2019, Fall 2020 (MEng) Program
  • Probability, Spring 2013, Spring 2014, Spring 2020, Spring 2021 (PhD) Program
  • Dynamic Programming (London Business School) Summer 2019 (PhD)
  • Approximate Dynamic Programming, ORIE 6590, Spring 2019 (PhD)
  • Financial Engineering with Stochastic Calculus II, ORIE 5610, Spring 2017 (MEng) Program
  • Introduction to Stochastic Process Engineering I (1st cycle), Spring 2016
  • Mathematics of Financial Systems (PhD), Spring 2015
  • ORIE 6630 Risk Measures, Fall 2014 (PhD) Program

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