I am a PhD student in the Computer Science Department at Stanford, working with Professor Anshul Kundaje. My research interests are in (applied) machine learning and computational biology, with a current focus on deep learning models of chromatin accessibility, nucleosome positioning and chromatin state.

I earned a BS ('08) and MS ('12) in Computer Science from Stanford, where I had the privilege to work with Professors Daphne Koller, Andrew Ng and Serafim Batzoglou. I took a year off during my PhD to work for Counsyl, where I developed software (variant calling and LIMS integration) for clinically validated sequencing-based genetic tests. I have also worked as a Research Officer in the Data Mining Department of the Institute for Infocomm Research (I2R), where I did research in machine learning, data mining and bioinformatics under Dr. See-Kiong Ng and Dr. Xiaoli Li.

Publications

  • Zinc finger protein Zfp335 is required for the formation of the naïve T cell compartment

    eLife 3: e03549 (2014)

    Brenda Y. Han, Shuang Wu, Chuan-Sheng Foo, Robert M. Horton, Craig N. Jenne, Susan R. Watson, Belinda Whittle, Chris C. Goodnow, and Jason G. Cyster

    [paper]
  • A majorization-minimization algorithm for (multiple) hyperparameter learning

    Proceedings of the 26th International Conference on Machine Learning, 321–328 (2009)

    Chuan-Sheng Foo, Chuong B. Do and Andrew Y. Ng

    [pdf, slides]
  • Proximal regularization for online and batch learning

    Proceedings of the 26th International Conference on Machine Learning, 257–264 (2009)

    Chuong B. Do, Quoc V. Le and Chuan-Sheng Foo

    [pdf, software]
  • Searching for rising stars in bibliography networks

    Proceedings of the 14th International Conference on Database Systems for Advanced Applications (2009)

    Xiao-Li Li, Chuan-Sheng Foo, Kar Leong Tew, See-Kiong Ng

    [pdf]
  • A max-margin model for efficient simultaneous alignment and folding of RNA sequences

    Bioinformatics, 24(13):i68–76 (2008)

    Chuong B. Do, Chuan-Sheng Foo and Serafim Batzoglou

    [pdf, software]
  • Efficient multiple hyperparameter learning for log-linear models

    Advances in Neural Information Processing Systems 20:377–384 (2007)

    Chuong B. Do, Chuan-Sheng Foo and Andrew Y. Ng

    [pdf]
  • Discovering protein complexes in dense reliable neighborhoods of protein interaction networks

    Computational Systems Bioinformatics: CSB 2007 Conference Proceedings, 6:157–68 (2007)

    Xiaoli Li, Chuan-Sheng Foo and See-Kiong Ng

    [pdf, website]
  • Interaction graph mining for protein complexes using local clique merging

    [ Best Paper Award, GIW 2005 ]

    Genome Informatics, 16(2):260–9 (2005)

    Xiaoli Li, Soon-Heng Tan, Chuan-Sheng Foo and See-Kiong Ng

    [pdf]

Conference Abstracts

  • Deep learning the relationship between chromatin architecture, chromatin state, and transcription factor binding [ Platform Talk ]

    65th Annual Meeting of The American Society of Human Genetics

    Anshul Kundaje, Chuan-Sheng Foo, Johnny Israeli, Avanti Shrikumar, Jason Buenrostro, Alicia Schep and William Greenleaf

  • ATAC-seq is predictive of chromatin state

    2015 Cold Spring Harbor Laboratory meeting on Systems Biology: Global Regulation of Gene Expression

    Chuan-Sheng Foo, Sarah Denny, Jason Buenrostro, William Greenleaf, Anshul Kundaje

  • ATAC-seq is predictive of chromatin state [ Oral Presentation ]

    2014 RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges and Cytoscape Workshops

    Chuan-Sheng Foo, Sarah Denny, Jason Buenrostro, William Greenleaf, Anshul Kundaje

  • Ab-initio identification of chromatin states from chromatin accessibility data with CASCADE

    2014 Cold Spring Harbor Laboratory meeting on The Biology of Genomes

    Chuan-Sheng Foo*, Sarah K. Denny*, Margaret X. Fu*, Jason D. Buenrostro, Anshul B. Kundaje and William J. Greenleaf (*equal contribution)

  • Validation of and initial experience with a next-generation sequencing-based 98-gene expanded carrier screening assay

    Association for Molecular Pathology 2013 Annual Meeting

    Hyun-Seok Peter Kang, Jared Maguire, Jonathan Tritt, Chuan-Sheng Foo, Alexander Scott Patterson and Eric A. Evans

  • Gene expression deconvolution

    Biomedical Computation at Stanford 2010

    Chuan-Sheng Foo, Shai S. Shen-Orr and Daphne Koller