Wanqian Yang

I am currently a data engineer on the Siri Search Data team at Apple, working on modeling efforts for improving Siri Search data quality.

I graduated from Harvard College in May 2020 with a joint degree in Computer Science and Statistics. I am generally interested in all things AI/ML, especially probabilistic (Bayesian) models, computational cognitive science and interpretable ML. I am fortunate to have collaborated with Finale Doshi-Velez, Hima Lakkaraju and Sam Gershman.

You can reach me at wanqian at alumni dot harvard dot edu. This is a forwarding address which redirects to my personal email account.

previous experience

Summer 2020 I was a machine learning research intern at Nuro, a self-driving startup focused on autonomous goods delivery.
May 2020 I wrote my senior thesis on (i) specifying interpretable priors and (ii) evaluating variational approximations for Bayesian neural networks. I was advised by Finale Doshi-Velez (Computer Science) and Alexander Young (Statistics). My thesis was awarded a Hoopes Prize.
Summer 2019 I was a data science intern at Apple, where I worked on anomaly detection for Siri Search analytics.
Summer 2018 I was a software engineering intern at TCV, a venture capital firm, where I worked on data-driven approaches for automating sourcing efforts.

selected publications

  1. NeurIPS
    Incorporating Interpretable Output Constraints in Bayesian Neural Networks
    Yang, W., Lorch, L., Graule, M. A., Lakkaraju, H., and Doshi-Velez, F.
    In Advances in Neural Information Processing Systems,  2020.
    [Accepted as spotlight paper.]
  2. Thesis
    Making Decisions Under High Stakes: Trustworthy and Expressive Bayesian Deep Learning
    Yang, W.
    Senior Thesis, Harvard University,  2020.
    (PDF below contains post hoc corrections for minor errata.)
  3. PLOS CB
    Discovery of Hierarchical Representations for Efficient Planning
    Tomov, M. S., Yagati, S., Kumar, A., Yang, W., and Gershman, S. J.
    PLOS Computational Biology,  2020.
  4. ICML Workshop
    Output-Constrained Bayesian Neural Networks
    Yang, W.*, Lorch, L.*, Graule, M. A.*, Srinivasan, S., Suresh, A., Yao, J., Pradier, M. F., and Doshi-Velez, F.
    In 36th International Conference on Machine Learning Workshop on Uncertainty and Robustness in Deep Learning,  2019.