Faculty Research Areas

Faculty Research Areas

Joint Faculty

Sam Bowman
Associate Professor of Linguistics and Data Science

• Natural language processing
• Artificial neural networks
• Computational semantics

Joan Bruna
Associate Professor of Computer Science and Data Science

• Machine learning
• Signal processing
• High-dimensional statistics

Kyunghyun Cho
Associate Professor of Computer Science and Data Science

• Machine learning
• Natural language processing (NLP)
• Application of data science in medicine

Carlos Fernandez-Granda
Associate Professor of Mathematics and Data Science

• Applied mathematics
• Inverse problems
• Machine learning
• Signal processing
• Applications in healthcare

Juliana Freire
Professor of Computer Science and Engineering and Data Science

• Big data
• Data analysis and visualization
• Provenance management and analytics
• Computational reproducibility
• Scientific data management
• Large-scale information integration
• Data quality
• Web information retrieval and analysis
• Web crawling
• Spatio-temporal analytics

He He
Assistant Professor of Computer Science and Data Science

• Machine learning
• Natural language processing
• Dialogue and communication

Yanjun Han
Assistant Professor of Mathematics and Data Science (starting fall 2023)

• Statistical machine learning
• High-dimensional and nonparametric statistics
• Online learning and bandits
• Information theory

Julia Kempe
Professor of Computer Science, Mathematics and Data Science

• Mathematics of data science
• Machine learning
• Connections to quantum computation
• Data Science applied to problems in physics and material science

Brenden Lake
Assistant Professor of Psychology and Data Science

• Computational cognitive modeling
• Machine learning
• Structured probabilistic models
• Deep learning

Qi Lei
Assistant Professor of Mathematics and Data Science

• Machine learning
• Deep learning
• Optimization

Grace Lindsay
Assistant Professor of Psychology and Data Science

• Neuroscience
• Sensory Processing
• Machine learning

Tal Linzen
Assistant Professor of Linguistics and Data Science

• Computational linguistics
• Computational cognitive science
• Human language comprehension and processing

Brian McFee
Assistant Professor of Music Technology and Data Science

• Machine learning
• Music information retrieval
• Recommender systems
• Multimedia signal processing

Jonathan Niles-Weed
Assistant Professor of Mathematics and Data Science

• Statistics
• Information theory
• Optimization
• Mathematics of data science
• Optimal transport

Rajesh Ranganath
Assistant Professor of Computer Science and Data Science

• Probabilistic modeling
• Approximate inference
• Bayesian nonparametric statistics
• Machine learning for healthcare and causal inference

Mengye Ren
Assistant Professor of Computer Science and Data Science

• Machine learning
• Computer vision
• Meta-learning
• Representation learning

Cristina Savin
Assistant Professor of Neural Science and Data Science

• Computational neuroscience
• Machine learning
• Time series models
• Bayesian nonparametrics

Claudio Silva
Professor of Computer Science and Engineering and Data Science

• Data science
• Urban computing
• Sports analytics
• Visualization and graphics
• Geometry processing

Julia Stoyanovich
Associate Professor of Computer Science and Engineering and Data Science

• Computer science
• Data and knowledge management
• Ethical data management and analysis
• Management and analysis of evolving graphs
• Management and analysis of preference data

Andrew Wilson
Associate Professor of Computer Science and Data Science

• Probabilistic modeling
• Bayesian deep learning
• Gaussian processes
• Foundations of machine learning

Associated Faculty

Vasant Dhar
Professor of Information Systems and Data Science

• Prediction
• Data mining
• Artificial intelligence
• Decision making

Rob Fergus
Associate Professor of Computer Science and Data Science

• Computer vision
• Large-scale object recognition
• Deep learning
• Machine learning
• Statistical methods in astronomy
• Computational photography

Jennifer Hill
Professor of Applied Statistics and Data Science

• Causal inference
• Missing data
• Bayesian nonparametrics

David W. Hogg
Professor of Physics and Data Science

• Astronomy
• Cosmology
• Probabilistic inference
• MCMC

Panos Ipeirotis
Professor of Information, Operations and Management Sciences and Data Science

• Crowdsourcing
• Machine learning
• Integrating human and machine intelligence
• Text and web mining
• Data management

Yann LeCun
Silver Professor of Computer Science, Neural Science, Electrical and Computer Engineering and Data Science

• Machine learning
• Computer vision
• Mobile robotics
• Computational neuroscience

Foster Provost
Professor of Information Systems and Data Science

• Data science
• Data mining
• Machine learning
• Predictive modeling
• Integrating human and machine computation
• Inference in network data
• Social network analysis
• Crowdsourcing
• Micro-outsourcing systems

S.R. Srinivasa Varadhan
Professor of Mathematics and Data Science

• Probability theory 
• Stochastic processes

Eero Simoncelli
Professor of Neural Science, Mathematics, Psychology and Data Science

• Probabilistic analysis/representation in biological and machine vision
• Statistical signal and image processing

Affiliated Shanghai Faculty

Mathieu Laurière
Assistant Professor of Mathematics and Data Science NYU Shanghai

• Mean field control and mean field games numerical methods
• Partial differential equations
• Stochastic analysis
• Machine learning
• Complexity theory and quantum computing

Shuyang Ling
Assistant Professor of Data Science, NYU Shanghai

• Applied mathematics
• Optimization
• Probability
• Signal processing
• Mathematics of data science
• Machine learning