I am an applied mathematician and currently a software engineer in Google Research. I conduct research in sound and image processing, communications, and machine learning.

Disclaimer: The opinions stated here are my own, not necessarily those of my employer.

 

• “Local kernels that approximate Bayesian regularization and proximal operators”
  with Frank Ong and Peyman Milanfar
  Connections between kernel-based filtering and variational formations.

• BLADE: Filter Learning for General Purpose Image Processing
  with Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar
  Fast, simple, trainable filtering framework for denoising and other imaging tasks.

• COVID-19 Time Series Plots
  Plots of active cases of COVID-19 over time.

• tvreg: Variational Imaging Methods
  C/C++ and Matlab code for image restoration and segmentation.

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