Can machine learning help improve computational methods in finance?
Cody Hyndman
- Associate Professor and Chair
- Department of Mathematics and Statistics
- mathematical finance7
- computational finance3
- machine learning47
- investment risk17
- stochastic analysis13
- data science34
- financial engineering3
- financial derivatives8
- insurance4
- commodities7
- risk modeling8
- probability theory9
- actuarial mathematics5
- risk18
- stochastic processes7
- filtering and control
- risk analysis10
- futures contracts6
- statistical modeling14
- business analytics8
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Frédéric Godin
financial engineering, mathematical finance, risk management
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Mélina Mailhot
actuarial mathematics, risk, multivariate statistics
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Stylianos Perrakis
financial engineering, capital structure, financial markets
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José Garrido
risk theory, actuarial mathematics, ruin theory
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Yang Lu
applied econometrics, aging (ageing), insurance
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Latha Shanker
financial derivatives, risk management, international banking
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Gregory Lypny
experimental economics, behavioral economics, behavioral finance
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence (AI)
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Ravi Mateti
corporate finance, fixed income analysis, financial derivatives
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Lorne Nelson Switzer
economics of technological change, small cap equities, financial derivatives
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Mohsen Farhadloo
machine learning, data mining, text analytics
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Salim Lahmiri
artificial intelligence (AI), data science, predictive analytics
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Ketra Schmitt
risk analysis, systems models, technology policy
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Jamshid Etezadi-Amoli
multivariate statistics, business statistics, structural equation modeling
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Michael T. Hallett
computational biology, bioinformatics, systems biology
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Yan Liu
big data, distributed/parallel systems, deep learning
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Heena Rathore
ubiquitous and pervasive computing, cyberphysical systems, mobile computing
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Xintong Han
microeconometrics, applied econometrics, economics of education
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Laurent Potvin-Trottier
synthetic biology, systems biology, microfluidics
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Farnoosh Naderkhani
condition-based maintenance, stochastic analysis, quality management
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Lea Popovic
probability theory, randomness in the living world, mathematical biology
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Jun Yan
smart grids, cyberphysical security, machine learning
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Simone Brugiapaglia
data science, computational mathematics, compressed sensing
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Heejeong Kim
macroeconomics, business cycles, socioeconomic marginalization
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Jun Cai
machine learning, distributed/parallel systems, energy efficiency
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Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization
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Fereshteh Mafakheri
system engineering and evolution, multicriteria decision making, project management
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Ivan Contreras
transportation systems, networks, large scale optimization
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Jia Yuan Yu
data science, decision theory, machine learning
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Ali Nazemi
water security, climate change, coupled human-water systems
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Juliane Proelss
alternative investment strategies, hedging, risk management
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Ali Akgunduz
aviation industry, air traffic control, greener aviation
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Pawel Gora
complex dynamic systems, ergodic theory, absolute continuity
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Leila Kosseim
computational linguistics, natural language processing, artificial intelligence (AI)
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Bruno Lee
buildings, energy efficiency, energy modeling and optimization
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Xiao Huang
supply chains, operations management, game theory
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Damba Lkhagvasuren
unemployment, business cycles, labour economics
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Eugene Belilovsky
machine learning, deep learning, computer vision
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Yogendra P. Chaubey
statistical methodology, linear models, statistical modeling