Faculty Research Areas

Joint Faculty

Afonso S. Bandeira
Assistant Professor of Mathematics & Data Science
Research Areas:

  • Applied mathematics
  • Optimization
  • Probability
  • Information theory
  • Signal processing
  • Mathematics of data science
  • Theoretical computer science
  • Statistics

Sam Bowman
Assistant Professor of Linguistics & Data Science
Research Areas:

  • Natural language processing
  • Artificial neural networks
  • Computational semantics

Joan Bruna
Assistant Professor of Computer Science & Data Science
Research Areas:

  • Machine learning
  • Signal processing
  • High-dimensional statistics

Kyunghyun Cho
Assistant Professor of Computer Science & Data Science
Research Areas:

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

Carlos Fernandez-Granda
Assistant Professor of Mathematics & Data Science
Research Areas:

  • Optimization-based methods in neuroscience, computer vision, and medical imaging
  • Applications of data science in medicine

He He (starting Fall 2019)
Assistant Professor of Computer Science and Data Science
Research Areas

  • Natural language understanding
  • Dialogue and communication
  • Machine learning

Julia Kempe
Professor of Computer Science, Mathematics, & Data Science; Director of the Center for Data Science
Research Areas:

  • 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
Research Areas:

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

Brian McFee
Assistant Professor of Music Technology & Data Science

Research Areas:

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

Rajesh Ranganath
Assistant Professor of Computer Science & Data Science
Research Areas:

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

Cristina Savin
Assistant Professor of Neural Science & Data Science
Research Areas:

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

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
Research Areas:

  • 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
Research Areas:

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

Associated Faculty

Richard Bonneau
Professor of Biology, Computer Science, & Data Science
Research Areas:

  • Systems biology and protein modeling.

Kyle Cranmer
Professor of Physics & Data Science
Research Areas:

  • 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
Research Areas:

  • Prediction
  • Data mining
  • Artificial intelligence
  • Decision making

Rob Fergus
Associate Professor of Computer Science & Data Science
Research Areas:

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

Juliana Freire
Professor of Computer Science and Engineering, & Data Science
Research Areas:

  • 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

Jennifer Hill
Professor of Applied Statistics & Data Science
Research Areas:

  • Causal inference
  • Missing data
  • Bayesian nonparametrics

David W. Hogg
Professor of Physics & Data Science
Research Areas:

  • Astronomy
  • Cosmology
  • Probabilistic inference
  • MCMC

Panos Ipeirotis
Professor of Information, Operations and Management Sciences, & Data Science
Research Areas:

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

Yann LeCun
Courant Institute of Mathematical Sciences Silver Professor of Computer Science, Neural Science, Electrical and Computer Engineering, & Data Science; Founding Director of the NYU Center for Data Science
Research Areas:

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

Foster Provost
Professor Information Systems & Data Science
Research Areas:

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

Claudio Silva
Professor of Computer Science and Engineering, & Data Science
Research Areas:

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

Eero Simoncelli
Professor of Neural Science, Mathematics, Psychology, & Data Science
Research Areas:

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