Students

Daniel Ferguson, Ph.D., Applied Mathematics, 2022.
Now: Data & Applied Scientist at Microsoft.
Machine Learning on NetworkValued Data: The Spectral Way

Brandon D. Finley, M.S., Applied Mathematics, 2022.
Optimizing Data PreProcessing Transformations with Reinforcement Learning

Peter Wills, Ph.D. Applied Mathematics, 2018.
Now: Senior Machine Learning Engineer at Abnormal Security.
Studies in the Analysis of Stochastic Processes

Lukas GoetzWeiss, M.S. Applied Mathematics, 2017.
Now: Senior Data Scientist at Tokko.
Dimensionality Detection and the
Geometric Median on Data Manifolds.

Ankit Saxena, M.S. Electrical Engineering, 2016.
Now: Engineer at Qualcomm.
Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach.

Nathan Monnig, Ph.D. Applied Mathematics, 2015.
Now: Lead Data Scientist at Lovevery
From Nonlinear Embedding to Graph
Distances: a Spectral Perspective.

Michael Brutz, Ph.D. Applied Mathematics, 2014.
Now: Senior Associate Data Scientist at KPMG
Mathematical Modelling and Analysis of
Several Diffusive Processes

Laura Bernabe, M.S.,Electrical Engineering, 2012.
Now: Lead Machine Learning & Data Science Engineer at UserZoom
FMRI decoding using sparse neuronal networks.

Nicholas Bertrand, M.S., Applied Mathematics, 2012.
Now: Data Scientist at Northrop Grumman
Sparse Encoding of Observations from a Smooth Manifold via
Locally Linear Approximation.

Juan Ramirez, M.S., Electrical Engineering, 2012.
Now: Senior Artificial Intelligence Research Engineer
The Johns Hopkins University Applied Physics Laboratory
Learning from ManifoldValued Data: An Application to Seismic
Signal Processing.

Daniel Kaslovsky, Ph.D. Applied Mathematics, 2012.
Now: Principal Date Engineer at Rumble, Inc.
Geometric Sparsity in High Dimension.

Kye Taylor, Ph.D. Applied Mathematics, 2011.
Now: Principal Machine Learning Scientist and Tech Lead at Cogito Corp.
The geometry of signal and image patchsets.

Mabel RamirezVelez, (coadvised with Prof. Zoya Popovic), Ph.D. Electrical Engineering, 2009.
Now: at MIT Lincoln
Labs.

Pradeep Narayan Radhakrishna,M.S. Electrical Engineering, 2008.
Now: GPU Software Development Engineer at Intel Corporation.
Manifold Based Multistage Music Genre
Classification.

Kye Taylor, M.S. Applied Mathematics, 2008.
Now: Senior Machine Learning Scientist at Cogito Corp.
Diffusion on graphs and spectral clustering.

Xilin Shen, Ph.D. Electrical Engineering, 2007.
Now: Research Scientist in Radiology and Biomedical Imaging at Yale University.
Multiscale Analysis of High Dimensional Data.

Pascal Getreuer, M.S. Applied Mathematics, 2006.
Now: Senior Software Engineer at Google
Essentially non oscillating techniques with general
discretization.

Sonia Gandhi, M.S. Electrical Engineering, 2005.
Now: Product Management, ServiceNow
ENO interpolation for image compression.

Rahul Dabane, M.S. Electrical Engineering 2004.
Now: Principal Member of Technical Staff at GEO Semiconductor, Inc.
Image Compression using a Multilayered Approach.

Aditya Dalvi, M.S. Electrical Engineering, 2004.
Now: Director  Software Applications at Exactech
Selection of an Optimal Set of Wavelet Packets for fMRI
Analysis.

Jatuporn Chinrungrueng, Ph.D. Electrical Engineering, 2003.
Now: Senior Researcher at National Electronics and Computer Technology Center, Thailand.
Features Selection for Clustering of Functional
Magnetic Resonance Imaging Data.