Research
Our research lies at the intersection of statistics, econometrics, mathematical finance, machine learning, and operations research. We develop theoretically grounded methods and innovative quantitative tools to model and analyze complex data and stochastic systems. By combining fundamental research with application-oriented approaches, we address pressing challenges in risk management, statistical inference, data-driven learning, optimization, financial modeling, and quantitative decision-making across academia, industry, and society.
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projects
Current Projects All Projects at ISOR
(All Information from u:cris)
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Activities
(All Information from u:cris)
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Research Platforms
Research Groups
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FEC
Financial Econometrics -
QUARIMAFI
Quantitative Risk Management and Mathematical Finance -
STAIN
Statistical Analysis and Inference
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SME
Statistical Methods -
SMALE
Statistics and Machine Learning -
OR
Operations Research
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SEAM
Statistics, Econometrics and Applied Mathematics
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STOCHOPT
Stochastic Optimization, Statistics and Risk Management