Christopher Tosh

Memorial Sloan Kettering Cancer Center

Department of Epidemiology and Biostatistics

Computational Oncology

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I am an associate research scientist in Computational Oncology at Memorial Sloan Kettering Cancer Center in the lab of Wesley Tansey. My current interests are on problems arising in interactive learning, representation learning, and robust learning, particularly with applications to cancer research.

Before MSKCC, I was a postdoc at Columbia University in the Data Science Institute, supervised by Daniel Hsu. Before that, I received my PhD in Computer Science from UC San Diego, where I was advised by Sanjoy Dasgupta.

selected publications

  1. Simple and near-optimal algorithms for hidden stratification and multi-group learning
    C. Tosh, and D. Hsu
    In Proceedings of the 39th International Conference on Machine Learning, 2022
  2. Contrastive learning, multi-view redundancy, and linear models
    C. Tosh, A. Krishnamurthy, and D. Hsu
    In Proceedings of the 32nd International Conference on Algorithmic Learning Theory, 2021
  3. Diameter-based active learning
    C. Tosh, and S. Dasgupta
    In Proceedings of the 34th International Conference on Machine Learning, 2017