I work on the Web Ranking & Answers team. We are an NLP-oriented R&D team. Our goal is to provide fast and direct answers to the questions people ask their devices.

If you are interested in training and deploying ML models for a user-facing product, we are hiring!

Prior to Apple, I was a Senior Data Scientist at Turi (a startup formerly known as Dato and GraphLab). I helped build the NLP and recommender system toolkits for Turi Create.

During graduate school, I focused on probabilistic models for relational events, e.g., communication or interaction within a social network. I obtained a Ph.D. from the Department of Statistics at University of California, Irvine, working with Padhraic Smyth and the DataLab. I also had the opportunity to do research internships at Google Research NY (with Daryl Pregibon) and Microsoft Research (with Chris Meek).



An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering

Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois

2nd Workshop on Machine Reading for Question Answering (co-located with ACL) [paper]

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval

Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois

arXiv [paper]

Collaborative denoising auto-encoders for top-n recommender systems

Yao Wu, Christopher DuBois, Alice X Zheng, Martin Ester

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining [paper]

How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?

Shayne Longpre, Yu Wang, Chris DuBois

arXiv [paper]

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering

Shayne Longpre, Yi Lu, Chris DuBois

arXiv [paper]



Approximate Slice Sampling for Bayesian Posterior Inference

Christopher DuBois, Anoop Korattikara, Max Welling, Padhraic Smyth

AI STATS 2014 [paper]

Statistical Models for Exploring Individual Email Communication Behavior

Nicholas Navaroli, Christopher DuBois, Padhraic Smyth

ACML 2012 (JMLR workshop) [paper]

Waiting for a retweet: modeling waiting times in information propagation

Emma Spiro, Christopher DuBois, Carter Butts

NIPS 2012 Workshop on Social Media and Social Networks [paper]

Stochastic blockmodeling of relational event dynamics

Christopher DuBois, Carter Butts, Padhraic Smyth

AI STATS 2013 [paper]

Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges

Michael J. Bannister, Christopher DuBois, David Eppstein, Padhraic Smyth

SODA 2013 [paper]

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation

James Foulds, Levi Boyles, Christopher DuBois, Max Welling, Padhraic Smyth

KDD 2013 [paper]

Hierarchical Models for Relational Event Sequences

Christopher DuBois, Carter T. Butts, Daniel McFarland, Padhraic Smyth

Journal of Mathematical Psychology [paper]

Latent Set Models for Two-Mode Network Data

Christopher DuBois, James Foulds, Padhraic Smythh

Fifth International AAAI Conference on Weblogs and Social Media (2011) [paper]

Modeling Relational Events via Latent Classes

Christopher DuBois, Padhraic Smyth

KDD 2010 [paper]

A multiple time-scale computational model of a tumor and its micro environment

Christopher DuBois, Farnham J, Aaron E, Radunskaya A.

Mathematical Biosciences and Engineering, Vol.10 [paper]