Simon Fontaine

Postdoctoral Reasearcher in Statistics

RESEARCH

RECENT PUBLICATIONS

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Missing Value Imputation in Relational Data using Variational Inference

In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable …

Simon Fontaine, Jian Kang, Ji Zhu

May, 2025 JCGS Misc

ADAPT: Analysis of Microbiome Differential Abundance by Pooling Tobit Models

Microbiome differential abundance analysis remains a challenging problem despite multiple methods proposed in the literature. The …

Mukai Wang, Simon Fontaine, Hui Jiang, Gen Li

November, 2024 Bioinformatics Microbiome

Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records

The Kettles Esophageal and Cardia Adenocarcinoma predictioN (K-ECAN) Tool was developed and validated using a form of artificial …

Joel H. Rubenstein, Simon Fontaine, Peter W. MacDonald, Jennifer A. Burns, Richard R. Evans, Maria E. Arasim, Joy W. Chang, Elizabeth M. Firsht, Sarah T. Hawley, Sameer D. Saini, Lauren P. Wallner, Ji Zhu, Akbar K. Waljee

August, 2023 Gastroenterology Applied

An adaptive multiple try Metropolis algorithm

Markov chain Monte Carlo (MCMC) methods, specifically samplers based on random walks,often have difficulty handling target …

Simon Fontaine, Mylène Bédard

August, 2022 Bernoulli Misc

A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data

Actuarial practitioners now have access to multiple sources of insurance data corresponding to various situations: multiple business …

Simon Fontaine, Yi Yang, Wei Qian, Bowen Gu, Bo Fan

January, 2020 Technometrics Misc

WORKING PAPERS

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Bayesian Fréchet Regression

Fréchet regression is a statistical method that extends traditional regression to model responses in metric spaces by minimizing the …

Simon Fontaine, Lingzhou Xue, Bing Li

October, 2025 In Preparation Misc

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance

Differential abundance (DA) analysis in microbiome studies has recently been used to uncover a plethora of associations between …

Simon Fontaine, Nisha J. D'Silva, Marcell Costa De Medeiros, Grace Y. Chen, Ji Zhu, Gen Li

October, 2025 Under revision at Biometrics Microbiome

Loss of salivary agglutinin induces changes in the salivary microbiome and accelerates development of oral cancer

Background: Salivary agglutinin, also known as deleted in malignant brain tumors 1 (DMBT1), is an anti-microbial protein. Salivary DMBT1 is low in saliva from patients with oral cancer and dramatically increases after treatment with accompanying microbial changes. While suppression of DMBT1 has been associated with oral microbial dysbiosis and oral cancer, direct effect has not been established.

Marcell Costa De Medeiros, Simon Fontaine, Erika Danella, Ethan Hillman, Thomas Schmidt, Allison Furgal, Deneen M Wellik, Gen Li, Naohiro Inohara, Gabriel Nunez, Grace Y. Chen, Nisha J. D’Silva

October, 2025 Under review at Microbiome Applied, Microbiome

Dynamic Latent Factor Regression for EEG-Based Brain-Computer Interfaces

Brain-computer interfaces (BCI) provide direct communication from the brain to an external device by inferring the user’s intent …

Simon Fontaine, Jane E. Huggins, Ji Zhu, Jian Kang

October, 2025 Under revision at JASA BCI