Current PhD Students in Statistics and Computer Science

Curriculum vitae
Research interests:
Theoretical computer science, with a particular focus on computational complexity and algorithm design.
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Curriculum vitae
Research interests:
Natural Language Processing (NLP), Computational Linguistics, and Computational Social Science
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Curriculum vitae
Research interests:
Theoretical and computational neuroscience; Neural circuit dynamics and computation; Mathematical modeling of complex biological systems
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Curriculum Vitae
Research interests:
Probability theory, stochastic processes, extreme value theory, design of experiments
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Curriculum vitae
Research interests:
Natural Language Processing, Large Language Models, trustworthy and personalized NLP, machine learning theory, algorithms and optimization
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Curriculum vitae
Research interests:

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Curriculum vitae
Research interests:
Gene Regulatory Network inference, Sequence-based models of gene regulation, Cancer biology, Tooling for computational biology
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Curriculum vitae
Research interests:

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Curriculum vitae
Research interests:
Statistical mechanics of learning and inference; High-dimensional statistical inference; Information theory; Phase transitions in machine-learning model
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Curriculum vitae
Research interests:

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Curriculum vitae
Research interests:
Bayesian statistics and Bayesian inference, Gaussian mixture models and mixture distributions, machine learning, and stochastic processes
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Curriculum vitae
Research interests: Applied Cryptography, Secure Multi-party Computation, Verifiable Computation, Zero-Knowledge Proofs
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Curriculum vitae
Research interests:
Bayesian modelling; Computational statistics; Stochastic processes.
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Curriculum vitae
Research interests:

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Curriculum vitae
Research interests:
Statistical mechanics of learning and inference; High-dimensional statistical inference; Information theory; Phase transitions in machine-learning model
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Curriculum vitae
Research interests:
ayesian Nonparametrics, Nonparametric Statistics, Multi-disciplinary Mathematical Modelling, and Ontologies/Knowledge Graphs.
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Curriculum vitae
Research interests:
Bayesian Statistics, Latent Variable Models, Applied Probability, Causal Inference.
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Curriculum vitae
Research interests: Optimal Transport, Optimization, Stochastic Processes
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Curriculum vitae
Research interests: Machine Learning, Statistical Physics, Dynamical Systems and Stochastic Processes
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Curriculum vitae
Research interests: Stochastic Processes, Stochastic Differential Equations, Stochastic Control and Mathematical Finance
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Curriculum vitae
Research interests: Bayesian Statistics, Stochastic Processes
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Curriculum vitae
Research interests: Statistical Physics, Disordered and Complex systems, Machine learning and Computational Neuroscience
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Curriculum vitae
Research interests:Theoretical Computer Science, Algorithms
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Curriculum vitae
Research interests: Bayesian Nonparametrics Statistics
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Curriculum vitae
Research interests: Bayesian Nonparametrics, Asymptotic Statistics, Stochastic Processes
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Curriculum vitae
Research interests: Computational Biology, Machine Learning, Mathematical Modeling of Diseases
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Curriculum vitae
Research interests: Bayesian Nonparametric, Applied Probability
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Curriculum vitae
Research interests: Theoretical and Practical Aspects of Bayesian Statistics, Nonparametric Methods, Machine Learning and Network Analysis    
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Curriculum vitae
Research interests: Bayesian Inference, Nonparametric Methods, Statistical Machine Learning
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Curriculum vitae
Research interests:
Equilibrium and Nonequilibrium Statistical Mechanics, Disordered System, Machine Learning
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Curriculum Vitae
Research interests:
Algorithms, Computational Neuroscience, Disordered Systems, Machine Learning, Statistical Physics
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Curriculum vitae
Research interests:
Bayesian Nonparametric, Asymptotic Statistics, Applied Probability 
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Curriculum vitae
Research interests:
Stochastic processes, Stochastic Differential Equations
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Curriculum vitae
Research interests:
Optimization and Operations Research, Theoretical ML, Algorithm Theory 
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Curriculum vitae
Research interests:
Algorithms, Fine-Grained Complexity
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Curriculum vitae
Research interests:
Bayesian Nonparametric Statistics 
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Curriculum Vitae 
Research interests:
Bayesian Statistics, Optimal Transport
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Curriculum Vitae
Research interests:
Machine Learning, Statistical Physics 
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Curriculum Vitae
Research interests:
Network Analysis, Statistical Machine Learning, Bayesian Nonparametric Methods
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Curriculum Vitae
Research interests:
Statistical Physics of Disordered Systems
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Curriculum Vitae
Research interests:
Theoretical Computer Science
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Curriculum Vitae
Research interests:
Machine Learning, Stochastic Processes
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Curriculum Vitae
Research interests:
Geometric Machine Learning, Active Learning, Statistical Properties of Neural Networks
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Curriculum Vitae
Research interests:
Causal Inference, High-Dimensional Statistics, Anomaly Detection
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Curriculum Vitae
Research interests:
Geometric Machine Learning, Applied Machine Learning for Statistical Physics
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Curriculum Vitae
Research interests:
Markov Chain Monte Carlo Methods, Nonparametric Bayesian Methods, Machine Learning
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Curriculum Vitae
Research interest:
Optimal Transport, Gradient Flows in Metric Spaces, Stochastic Processes
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Curriculum Vitae
Research interests:
Algorithms, Computational Complexity Theory, Mathematical Problems Related to Computation
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