I work on the Siri & Information Intelligence 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 and provide relevant results.

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).



Entity-Based Knowledge Conflicts in Question Answering

Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh

EMNLP 2021 [paper]

Active Learning Over Multiple Domains in Natural Language Tasks

Shayne Longpre, Julia Reisler, Edward Huang, Yi Lu, Andrew Frank, Nikhil Ramesh, Chris DuBois

arxiv [paper]

Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks

Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, and Chris DuBois

arxiv [paper]

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 EMNLP) [paper]

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval

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

arXiv [paper]

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

Shayne Longpre, Yu Wang, Chris DuBois

Findings of EMNLP 2020 [paper]

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering

Shayne Longpre, Yi Lu, Chris DuBois

NAACL 2021 [paper]

Tempura: Query Analysis with Structural Templates

Tongshuang Wu, Kanit Wonguphasawat, Donghao Ren, Kayur Patel, Chris DuBois

CHI 2020 [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]



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]

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation

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

KDD 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]

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]

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]