CV

A PDF of my full CV can be found here.

Education

• B.S. in Electrical Engineering, New Mexico Institute of Technology, 2011
• Ph.D. in Vision Science, University of California, Berkeley, 2019

Publications

Combining multiple visual processing streams for locating and classifying objects in video

Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication

Replicating kernels with a short stride allows sparse reconstructions with fewer independent kernels

Sparse encoding of binocular images for depth inference

A deconvolutional competitive algorithm for building sparse hierarchical representations

Joint source-channel coding with neural networks for analog data compression and storage

The sparse manifold transform

Error-resilient analog image storage and compression with analog-valued RRAM arrays: an adaptive joint source-channel coding approach

Analysis and applications of the locally competitive algorithm

Subspace locally competitive algorithms

Selectivity and robustness of sparse coding networks

Towards nonlinear disentanglement in natural data with temporal sparse coding

Talks

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

September 02, 2020

Talk at Weights & Biases, San Francisco CA, USA

Subspace Locally Competitive Algorithms

March 28, 2021

Talk at Heidelberg University, Heidelberg, Germany