Can machine learning help improve computational methods in finance?
Cody Hyndman
 Professor
 Department of Mathematics and Statistics
 mathematical finance8
 computational finance3
 machine learning58
 investment risk14
 stochastic analysis13
 data science38
 financial engineering3
 financial derivatives8
 insurance4
 commodities7
 risk modeling9
 probability theory8
 actuarial mathematics5
 risk17
 stochastic processes6
 filtering and control
 risk analysis10
 futures contracts6
 statistical modeling15
 business analytics9

Frédéric Godin
financial engineering, mathematical finance, risk management

Mélina Mailhot
actuarial mathematics, risk, multivariate statistics

José Garrido
risk theory, actuarial mathematics, ruin theory

Stylianos Perrakis
financial engineering, capital structure, financial markets

Yang Lu
applied econometrics, aging (ageing), insurance

Latha Shanker
financial derivatives, risk management, international banking

Gregory Lypny
experimental economics, behavioral economics, behavioral finance

Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence (AI)

Kun Ho Kim
empirical asset pricing, empirical finance, applied econometrics

Ravi Mateti
corporate finance, fixed income analysis, financial derivatives

Jamshid EtezadiAmoli
multivariate statistics, business statistics, structural equation modeling

Lorne Nelson Switzer
economics of technological change, small cap equities, financial derivatives

Ketra Schmitt
risk analysis, systems models, technology policy

Salim Lahmiri
artificial intelligence (AI), data science, predictive analytics

Mohsen Farhadloo
machine learning, data mining, text analytics

Mahdi S. Hosseini
deep learning, computer vision, computational pathology

Essam Mansour
distributed/parallel systems, web data management, largescale analytics on strings

Diego Elias Damasceno Costa
software engineering, empirical software engineering, mining software repositories

Heejeong Kim
macroeconomics, business cycles, marginalized populations

Yang Wang
computer vision, machine learning, deep learning

Yan Liu
big data, distributed/parallel systems, deep learning

Jason Bramburger
nonlinear dynamics, complex dynamic systems, bifurcation analysis

Laurent PotvinTrottier
synthetic biology, systems biology, microfluidics

Farnoosh Naderkhani
conditionbased maintenance, stochastic analysis, quality management

Lea Popovic
probability theory, randomness in the living world, mathematical biology

Jun Yan
smart grids, cyberphysical security, machine learning

Simone Brugiapaglia
data science, computational mathematics, numerical analysis

Jun Cai
machine learning, distributed/parallel systems, energy efficiency

Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization

Fereshteh Mafakheri
system engineering and evolution, multicriteria decision making, project management

Prosper Dovonon
statistical modeling, theoretical econometrics, applied econometrics

Paula Lago
healthcare information systems, ubiquitous and pervasive computing, internet of things (IoT)

Ivan Contreras
transportation systems, networks, large scale optimization

Jia Yuan Yu
data science, decision theory, machine learning

Ali Nazemi
water security, climate change, coupled humanwater systems

Juliane Proelss
alternative investment strategies, hedging, risk management

Ali Akgunduz
aviation industry, air traffic control, greener aviation

Pawel Gora
complex dynamic systems, ergodic theory, absolute continuity

Leila Kosseim
computational linguistics, natural language processing (NLP), artificial intelligence (AI)

Bruno Lee
buildings, energy efficiency, energy modeling and optimization

Xiao Huang
supply chains, operations management, game theory

Damba Lkhagvasuren
unemployment, business cycles, labour economics

Eugene Belilovsky
machine learning, deep learning, computer vision

Yogendra P. Chaubey
statistical methodology, linear models, statistical modeling