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  • Read more about Alpha-loss: A Tunable Class of Loss Functions for Robust Learning
  • Read more about Enabling Science Through Data Science at Berkeley Lab
  • Read more about Non-overlapping block smoothers within geometric multigrid methods for the solution of the Stokes equations
  • Read more about Computational Light Transport: Acquisition and Algorithms
  • Read more about Node generation for high-order approximation and algorithms for subsample selection
  • Read more about Towards an arbitrary high-order method for the induction equation
  • Read more about My Journey to a National Lab and A Perspective on Data Science
  • Read more about The underlying topology of data
  • Read more about The illusion of the illusion of sparsity
  • Read more about Geometric and Topological Methods in Data Analysis

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