Daniel Kaslovsky,Ph.D. Applied Mathematics, 2012.

Geometric Sparsity in High Dimension.

Now: Advanced Analytics Senior Engineer, LogRhythm

Daniel Kaslovsky,Ph.D. Applied Mathematics, 2012.

Geometric Sparsity in High Dimension.

Now: Advanced Analytics Senior Engineer, LogRhythm

Copyright © 2018 François G. Meyer. All Rights Reserved.

Peter Wills, Ph.D., Applied Mathematics, 2018.

Methods in Mathematical Data Analysis.

Now: Data Scientist Engineer at FullContact Inc.

Lukas Goetz-Weiss, M.S. Applied Mathematics, 2017.

Dimensionality Detection and the Geometric Median on Data Manifolds

Now: Associate Data Scientist at HomeAdvisor

Ankit Saxena, M.S. Electrical Engineering, 2016.

Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach

Now: Engineer, Qualcomm

Nate Monnig, Ph.D. Applied Mathematics, 2015.

From nonlinear embedding to graph distances: a spectral perspective.

Now: Research Scientist, Numerica Corporation

Michael Brutz, Ph.D. , Applied Mathematics., 2014.

Mathematical Modeling and Analysis of Several Diffusive Processes

Now: Data Scientist, KPMG

Lledó Esquerra Ortells, M.S. Electrical Engineering, 2012.

Quantifying the Non-Linear Coupling Between Species: Copula and Rank Based Statistics.

Now: Ph.D. Student.

Nick Bertrand, M.S. Applied Mathematics, 2012,

Sparse Encoding of Observations from a Smooth Manifold via Locally Linear Approximations.

Now: at Georgia Tech.

Laura Bernabé Miguel, M.S. Electrical Engineering, 2012.

FMRI decoding using sparse neuronal networks.

Now: Senior Engineer, Intel

Juan Ramirez, Jr., M.S. Electrical Engineering, 2012

Learning from Manifold-Valued Data: An Application to Seismic Signal Processing.

Now: at Duke University.

Kye Taylor, Ph.D. Applied Mathematics, 2011

The geometry of signal and image patch-sets

Now: Lecturer, Tufts University

Juliet Hougland, M.S. 2011, Applied Mathematics.

Now: Data Scientist, Cloudera.

Xilin Shen, Ph.D. Electrical Engineering, 2008

Multiscale Analysis of High Dimensional Data

Now: Associate Research Scientist, Yale University.

Pradeep Narayan Radhakrishna, M.S., Electrical Engineering, 2008

Manifold Based Multistage Music Genre Classification.

Now: at Intel Corporation

Pascal Getreuer, M.S., Applied Mathematics, 2006

ENO Schemes with General discretizations

Now: Senior Software Engineer, Google.

Sonia Gandhi 2005, Electrical Engineering, M.S.

ENO Interpolation For Image Compression

Now:Digital Product Manager, Pearson

Aditya Dalvi, M.S. Electrical Engineering, 2004

Selection of an Optimal Set of Wavelet Packets for fMRI Analysis

Now: at Terumo BCT

Rahul Dabane, M.S. Electrical Engineering, 2004

Image Compression using a Multilayered Approach

Now: at Geo Semiconductor, Inc

Jatuporn Chinrungrueng, Ph.D. Electrical Engineering, 2003

Feature Selection for Clustering of Functional Magnetic Resonance Imaging Data.

Now: at National Electronics and Computer Technology Center,Thailand

The Meyer Lab is seeking exceptional Ph.D. students to develop algorithms for the analysis of massive datasets of graphs, and its application to neuroscience.

Apply now: fmeyer@colorado.edu