Joint Faculty
Sam Bowman
Assistant Professor of Linguistics & Data Science
- Natural language processing
- Artificial neural networks
- Computational semantics
Joan Bruna
Assistant Professor of Computer Science & Data Science
- Machine learning
- Signal processing
- High-dimensional statistics
Kyunghyun Cho
Associate Professor of Computer Science & Data Science
- Machine learning
- Natural language processing (NLP)
- Application of data science in medicine
Carlos Fernandez-Granda
Assistant Professor of Mathematics & Data Science
- Applied Mathematics
- Inverse Problems
- Machine Learning
- Signal Processing
- Applications in Healthcare
Juliana Freire
Professor of Computer Science and Engineering, & 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
Julia Kempe
Professor of Computer Science, Mathematics, & Data Science; Director of the Center for 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 & Data Science
- Computational cognitive modeling
- Machine learning
- Structured probabilistic models
- Deep 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 & 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 & Data Science
- Probabilistic modeling
- Approximate inference
- Bayesian nonparametric statistics
- Machine learning for healthcare and causal inference
Cristina Savin
Assistant Professor of Neural Science & Data Science
- Computational neuroscience
- Machine learning
- Time series models
- Bayesian nonparametrics
Claudio Silva
Professor of Computer Science and Engineering, & Data Science
- Data science
- Urban computing
- Sports analytics
- Visualization and graphics
- Geometry processing
Arthur Spirling
Associate Professor of Politics & Data Science; Director of Graduate Studies- M.S. in Data Science Program, Deputy Director of Center for Data Science
- Quantitative analysis of political behavior
- Institutional development and the use of text-as-data
- Political methodology
- Data science
Julia Stoyanovich
Assistant Professor of Computer Science and Engineering, & 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
Assistant Professor of Computer Science and Data Science
- Probabilistic modeling
- Bayesian deep learning
- Gaussian processes
- Foundations of machine learning
Associated Faculty
Richard Bonneau
Professor of Biology, Computer Science, & Data Science
- Systems biology and protein modeling
Kyle Cranmer
Professor of Physics & Data Science
- Collaborative statistical modeling
- Statistical methods in particle physics
- Data preservation and open access
- Digital publishing
- Data analysis
Vasant Dhar
Professor of Information Systems & Data Science; Director of Graduate Studies for Center for Data Science PhD Program
- Prediction
- Data mining
- Artificial intelligence
- Decision making
Rob Fergus
Associate Professor of Computer Science & Data Science
- Computer vision
- Large-scale object recognition
- Deep learning
- Machine learning
- Statistical methods in astronomy
- Computational photography
Jennifer Hill
Professor of Applied Statistics & Data Science
- Causal inference
- Missing data
- Bayesian nonparametrics
David W. Hogg
Professor of Physics & Data Science
- Astronomy
- Cosmology
- Probabilistic inference
- MCMC
Panos Ipeirotis
Professor of Information, Operations and Management Sciences, & Data Science
- Crowdsourcing
- Machine learning
- Integrating human and machine intelligence
- Text and web mining
- Data management
Yann LeCun
Founding Director of the NYU Center for Data Science; Courant Institute of Mathematical Sciences Silver Professor of Computer Science, Neural Science, Electrical and Computer Engineering, & Data Science;
- Machine learning
- Computer vision
- Mobile robotics
- Computational neuroscience
Foster Provost
Professor of Information Systems & 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
Eero Simoncelli
Professor of Neural Science, Mathematics, Psychology, & 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