Students

Olivia Courtney, B.A., Mathematics, 2024.
Now: PhD student, UC Santa Cruz
Honor thesis: The Fréchet Mean of Graph Ensembles
Daniel Ferguson, PhD, Applied Mathematics, 2022.
Now: Data & Applied Scientist at Microsoft. Machine Learning on Network-Valued Data: The Spectral Way
Brandon D. Finley, M.S., Applied Mathematics, 2022.
Now: PhD student at Université de Lausanne Optimizing Data Pre-Processing Transformations with Reinforcement Learning
Peter Wills, PhD Applied Mathematics, 2018.
Now: Senior Machine Learning Engineer at Abnormal Security. Studies in the Analysis of Stochastic Processes
Lukas Goetz-Weiss, 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, PhD Applied Mathematics, 2015.
Now: Lead Data Scientist at Lovevery From Nonlinear Embedding to Graph Distances: a Spectral Perspective.
Michael Brutz, PhD 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 Manifold-Valued Data: An Application to Seismic Signal Processing.
Daniel Kaslovsky, PhD Applied Mathematics, 2012.
Now: Principal Date Engineer at Rumble, Inc. Geometric Sparsity in High Dimension.
Kye Taylor, PhD Applied Mathematics, 2011.
Now: Principal Machine Learning Scientist and Tech Lead at Cogito Corp. The geometry of signal and image patch-sets.
Mabel Ramirez-Velez, (co-advised with Prof. Zoya Popovic), PhD 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, PhD 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, PhD Electrical Engineering, 2003.
Now: Senior Researcher at National Electronics and Computer Technology Center, Thailand. Features Selection for Clustering of Functional Magnetic Resonance Imaging Data.