## 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