Faculty Research Areas

Our unique program encompasses the interdisciplinary study of both natural & social science subjects as well as contemporary scientific methods and technologies such as machine learning & artificial intelligence, applied mathematics, computer vision, astronomy, physics, neuroscience, biology, political science, ethics, and data governance.
Below is an overview of what field/area each of our faculty members covers and specializes in.
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
Arthur Spirling
Professor of Politics and Data Science
- Quantitative analysis of political behavior
- Institutional development and the use of text-as-data
- Political methodology
- Data science
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
Richard Bonneau
Professor of Biology, Computer Science and Data Science
- Systems biology and protein modeling
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