AMCSStudents
Doctoral Students
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Dynamics in Complex Systems, Bayesian Inference and Machine Learning. Specifically I am interested in network alignment, community detection, clustering and rumor spreading in social networks.
1N1 David Rittenhouse Laboratory -
Statistics, Bayesian Statistics, Statistical Prediction, Applied Probability, Statistics in Sports
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Observational Studies, Causal Inference, Machine Learning, Optimization
Blockley 232 -
1N1 David Rittenhouse Lab -
Scientific Computing/Machine Learning, Phisics-Informed Neural Networks, Operator Learning
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Optimization, Random Graph Theory and Combinatorics
1N1 David Rittenhouse Lab -
Statistics, Causal Inference
Observational Studies, Econometrics
Instrumental Variable Methods1N1 David Rittenhouse Lab -
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Partial Differential Equations, Numerical Analysis and Scientific Computing
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Statistical Mechanics, Differential Equations, Stochastic Processes in Physical Systems
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Statistical Machine Learning, Optimization
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DRL 1N1 -
Applied Topology
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Biomedical data analysis
1N1 David Rittenhouse Lab -
1N1 David Rittenhouse Lab -
CV, ML
Richards Medical Research Laboratories 611 -
Machine Learning for Continuous Systems, Operator Learning, Optimization
3401 Walnut 4B -
My research focuses on heterogenous data integration from distributed sites.
DRL 1N1 -
Multiscale modeling
PICS 518 -
1N1 David Rittenhouse Lab -
1N1 David Rittenhouse Lab -
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Financial Mathematics, Statistics, Machine Learning and Information Theory.
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Probability Theory
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Mathematics of Finance, Robust Statistics
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Statistical Inference, Electronic Health Records (EHR)
1N1 David Rittenhouse Lab -
1N1 David Rittenhouse Lab -
Machine Learning Theories
Masters Students
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Financial Mathematics, Differential Equations, Financial Calculus