Publications

  • Amortized Bayesian Optimization over Discrete Spaces

    UAI 2020
  • Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

    Nature Communications, 2020
  • Latent ODEs for Irregularly-Sampled Time Series

    NeurIPS 2019 (poster); Best paper award (honorable mention) at Time series Workshop at ICML 2019
  • Neural Ordinary Differential Equations

    NeurIPS 2018, oral (best paper award)
  • The evolutionary history of 2,658 cancers

    Nature, 2020
  • TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies

    Pacific Symposium on Biocomputing, 2020
  • The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression

    Cell, 2018
  • Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types

    To be submitted to Nature

News articles

  • TrackSig: Unlocking the history of cancer

    January 2020 link

  • Vector researchers win top honours at NeurIPS 2018

    December 2018 link

Talks and posters

  • Latent ODEs for Irregularly-Sampled Time Series

    Layer6
    Talk, October 2019

  • Latent ODEs for Irregularly-Sampled Time Series

    Time Series workshop at ICML 2019
    Talk, September 2019

  • Neural Ordinary Differential Equations

    Google Brain Toronto
    Talk, August 2019

  • Neural Ordinary Differential Equations

    Endless Summer School
    Talk, July 2019

  • Reconstructing changes in mutational processes during tumour evolution

    RECOMB Satellite Workshop on Computational Cancer Biology( Recomb-CCB)
    Talk, July 2017 Slides

  • Topic modelling through time to track tumour evolution

    NIPS, Machine Learning in Computational Biology workshop
    Poster, December 2016 Poster

  • Reconstructing changes in mutational processes during tumour evolution

    Biological Data Science meeting at Cold Spring Harbor Laboratory
    Talk, October 2016

  • Using a bump hunting approach for genome-wide identification of novel imprinted genes

    Genome Informatics at Cold Spring Harbor Laboratory
    Talk, October 2015

Miscellaneous

  • Geometric interpretation on Nesterov accelerated gradient

    December 2017 Slides Lecture notes

  • Review of deep learning methods in biology

    September 2017 Slides

Teaching

I have been a teaching assistant in the following courses in University of Toronto:

  • CSC411/2515: Introduction to Machine Learning
  • CSC263: Data Structures and Analysis
  • CSC236: Introduction to Theory of Computation
  • CSC108, CSC148: Introduction to Computer Science