Ronald Coifman

About

Ronald Coifman is the Sterling Professor of Mathematics and a Professor of Computer Science at Yale University. His research areas include nonlinear analysis, scattering theory, real and complex analysis, singular integrals, and numerical analysis. He holds a Ph.D. from Geneva, earned in 1965. Coifman is a member of several prestigious organizations, including the National Medal of Science, the National Academy of Sciences, and the American Academy of Arts and Sciences. His work has significantly contributed to the fields of mathematical analysis and computational methods, establishing him as a leading figure in these disciplines.

Research topics

• Computer Science
• Artificial Intelligence
• Statistics
• Biology
• Mathematics
• Physics
• Chemistry
• Neuroscience
• Psychology

Selected publications

• Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior

  Nature Neuroscience · 2023 · 61 citations

  PublisherOA PDFDOI

• Gene trajectory inference for single-cell data by optimal transport metrics

  Nature Biotechnology · 2024-04-05 · 38 citations

  articleOpen access
  PublisherOA PDFDOI

• Local conformal autoencoder for standardized data coordinates

  Proceedings of the National Academy of Sciences · 2020 · 16 citations

  Senior authorCorresponding

  We propose a local conformal autoencoder (LOCA) for standardized data coordinates. LOCA is a deep learning-based method for obtaining standardized data coordinates from scientific measurements. Data observations are modeled as samples from an unknown, nonlinear deformation of an underlying Riemannian manifold, which is parametrized by a few normalized, latent variables. We assume a repeated measurement sampling strategy, common in scientific measurements, and present a method for learning an emb…

  DOI

• Estimating Position-Dependent and Anisotropic Diffusivity Tensors from Molecular Dynamics Trajectories: Existing Methods and Future Outlook

  Journal of Chemical Theory and Computation · 2024-05-30 · 9 citations

  article

  Confinement can substantially alter the physicochemical properties of materials by breaking translational isotropy and rendering all physical properties position-dependent. Molecular dynamics (MD) simulations have proven instrumental in characterizing such spatial heterogeneities and probing the impact of confinement on materials' properties. For static properties, this is a straightforward task and can be achieved via simple spatial binning. Such an approach, however, cannot be readily applied…

  PublisherDOI

• Robust Estimation of Position-Dependent Anisotropic Diffusivity Tensors from Stochastic Trajectories

  The Journal of Physical Chemistry B · 2023-06-01 · 5 citations

  article

  Materials under confinement can possess properties that deviate considerably from their bulk counterparts. Indeed, confinement makes all physical properties position-dependent and possibly anisotropic, and characterizing such spatial variations and directionality has been an intense area of focus in experimental and computational studies of confined matter. While this task is fairly straightforward for simple mechanical observables, it is far more daunting for transport properties such as diffus…

  PublisherDOI

Recent grants

• CDS&E/Collaborative Research: The Integration of Data-Mining with Multiscale Engineering Computations

  NSF · $475k · 2013–2016

• CRCNS: Sensory-Motor Integration in Mammalian Brian: experiment, analysis, modeling

  NIH · $1.0M · 2016–2021

• Geometric Harmonic Analysis

  NSF · $354k · 2005–2009

Frequent coauthors

• Ioannis G. Kevrekidis

  Johns Hopkins University

  66 shared

• C. W. Gear

  Princeton University

  40 shared

• Yves Meyer

  40 shared

• Anastasia Georgiou

  Johns Hopkins University

  38 shared

• Eliodoro Chiavazzo

  Polytechnic University of Turin

  37 shared

• Roberto Covino

  Frankfurt Institute for Advanced Studies

  37 shared

• Gerhard Hummer

  37 shared

• Harlan M. Krumholz

  Yale New Haven Health System

  35 shared

Awards & honors

• National Medal of Science
• National Academy of Sciences
• American Academy of Arts and Sciences

Similar researchers at Yale University

• Vladimir Rokhlinh-60
• Dan Spielmanh-57
• Wilhelm Schlagh-53