News
  • Sept. 25, 2020 - Our paper, GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification, was accepted to NeurIPS 2020.
    [Preprint]
  • June 17, 2020 - Paper accepted for poster presentation at the the 2020 ICML Workshop on Computational Biology.
  • May 2020 - Our recent speedups have been released in Percolator 3.5, including lower memory consumption and more efficient multithreading than before (the speedups are described here and here). Have fun!
  • November 22 2019 - Giving a talk at the UC Riverside Data Science Center .
  • November 18 2019 - Giving a talk at the UC Irvine AI/ML seminar.
  • November 7, 2019 - Paper accepted for poster presentation at the Machine Learning in Comp Bio (MLCB) workshop, co-located with NeurIPS.
  • September 2019 - One of the top 50% of NeurIPS reviewers.
  • August 2019 - Our paper, Speeding up Percolator, was accepted to the Journal of Proteome Research. The upgraded Percolator software described therein is freely available here.
  • April 15, 2019 - Received the UC Davis Award for Excellence in Postdoctoral Research, 2019.
  • Oct. 29, 2018 - Our paper, Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra, was accepted to NeurIPS 2018.
    [Code], [PDF]
  • July 21, 2018 - A new book chapter detailing how to use the DRIP Toolkit (our DBN software for Mass Spec. Analysis) is available in Data Mining for Systems Biology: Methods and Protocols, Second Edition published by Springer.
  • July 17, 2018 - Release v0.1.0 of Jensen, our easily extensible toolkit for large-scale machine learning and convex optimization, is freely available for download on github. Further toolkit details and documentation are available here.
  • June 27, 2018 - The multithreaded Percolator software from our recent JPR paper has been upgraded to support multithreaded cross-validation. The updated software is freely available here.
  • April 2018 - Our paper, A Matter of Time - Faster Percolator Analysis via Efficient SVM Learning for Large-Scale Proteomics, was accepted to the Journal of Proteome Research. The optimized Percolator software described therein is freely available here.
  • Dec. 2017 - Our paper, Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies, was accepted to Scientific Reports. Software for inference in the described graphical model, THEMIS, is available here.
  • Sept. 2017 - Our paper, Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra, was accepted for a spotlight at NIPS 2017.
  • May 2017 - I'll be giving a keynote at the The Third Workshop on Advanced Methodologies for Bayesian Networks in Kyoto, Japan. More info is available here.