Alberto Bietti
Scientific researcher, CCM
Areas of interest: Learning theory, optimization, deep learning, kernel methods
David Bley
Visiting researcher, CCM
Areas of interest: Topic models, probabilistic modeling, approximate Bayesian inference
Jeanne Bruna
Visiting researcher, CCM
Areas of interest: Learning theory, deep learning, machine learning for science, high-dimensional statistics, algorithms
Andreas Buja
Senior Research Scientist, CCM
Areas of interest: Statistical methodology, model misspecification, replicability, causality, applications in autism genetics
Diane Cai
Flatiron Researcher, CCM
Areas of interest: Probabilistic modeling, robust Bayesian inference, machine learning for science
Bob Carpentier
Senior Research Scientist, CCM
Areas of interest: Probabilistic programming, Markov chain Monte Carlo methods, variational inference
Michael Eickenberg
Scientific researcher, CCM
Areas of interest: Machine learning for science, applied statistics and signal processing, deep learning, neuroimaging and computational cognitive neuroscience
Anna Gilbert
Visiting researcher, CCM
Areas of interest: Theory and algorithms for the analysis of high-dimensional data, metric representations, non-Euclidean embeddings
Robert Gower
Scientific researcher, CCM
Areas of interest: Stochastic optimization, interpolation, adaptive methods for deep learning, convergence of algorithms and second-order methods
Jiequun Han
Flatiron Researcher, CCM
Areas of interest: Multi-scale modeling, numerical methods for partial differential equations, machine learning for science
Stéphane Mallat
Emeritus scientific researcher, CCM
Areas of interest: Signal processing, harmonic analysis, deep learning
Charles Margosian
Flatiron Researcher, CCM
Areas of interest: Probabilistic programming, Markov chain Monte Carlo methods, variational inference
Rudy Morel
Flatiron Researcher, CCM
Areas of interest: Machine learning for science, deep learning, high-dimensional statistics, signal processing
Rubén Ohana
Flatiron Researcher, CCM
Areas of interest: Deep learning, random algorithms, high-dimensional statistics, differential privacy
Loucas Pillaud-Viven
Flatiron Researcher, CCM
Areas of interest: Learning theory, optimization, deep learning
Bruno Régaldo-Saint Blancard
Flatiron Researcher, CCM
Areas of interest: Machine learning for astrophysics, applied signal processing, generative modeling
Néha Wadia
Flatiron Researcher, CCM
Areas of interest: Learning theory, continuous-time optimization, high-dimensional statistics
Laurent Saul
Group Leader, Machine Learning, CCM
Areas of interest: High-dimensional data analysis, latent variable models, deep learning, variational inference, kernel methods
Berfin Simsek
Visiting researcher, CCM
Areas of interest: Learning Theory, Loss Landscape Analysis, Deep Learning
Yuling Yao
Flatiron Researcher, CCM
Areas of interest: Scalable Bayesian workflows, meta-learning, causal inference
