Simon Fontaine

Simon Fontaine

Postdoctoral Reasearcher in Statistics

Pennsylvania State University

RESEARCH

APPLIED RESEARCH

APPLIED RESEARCH

BRAIN-COMPUTER INTERFACES

BRAIN-COMPUTER INTERFACES

MICROBIOME DATA ANALYSIS

MICROBIOME DATA ANALYSIS

MISCELLANEOUS

MISCELLANEOUS

RECENT PUBLICATIONS

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
Code Project DOI Paper code
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
Code Project DOI
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
PDF Cite Code DOI Paper code Supplementary material
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
PDF Cite Code DOI Supplementary material

WORKING PAPERS

Bayesian Fréchet Regression
While linear regression focuses on studying the relationship between a set of covariates and a real-valued response, Fréchet regression …
Simon Fontaine, Lingzhou Xue, Bing Li
April, 2025 In Preparation Misc
Project
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
April, 2025 Under revision at JCGS Misc
Code Project
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
July, 2024 Under revision at JASA BCI
Code Project Paper code
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
March, 2024 Under review at Biometrics Microbiome
Code Project Paper code

RECENT & UPCOMING TALKS

Bayesian Fréchet Regression
While linear regression focuses on studying the relationship between a set of covariates and a real-valued response, Fréchet regression …
Jun 15, 2025 10:00 AM ICSA 2025 Storrs, CT, USA
Simon Fontaine, Lingzhou Xue, Bing Li
Locally sparse varying coefficient mixed model for longitudinal differential abundance analysis
Differential abundance (DA) analysis in microbiome studies has recently been used to uncover a plethora of associations between …
Jul 18, 2024 10:00 AM EcoSta 2024 Beijing, China
Simon Fontaine, Nisha J D'Silva, Marcell Costa De Medeiros, Ji Zhu, Gen Li
Locally sparse varying coefficient mixed model for longitudinal differential abundance analysis
Differential abundance (DA) analysis in microbiome studies has recently been used to uncover a plethora of associations between …
Aug 8, 2023 10:00 AM JSM 2023 Toronto, ON, Canada
Simon Fontaine, Nisha J D'Silva, Marcell Costa De Medeiros, Ji Zhu, Gen Li
Slides
POLDA: Pooling Overdispersed Logistic Regressions for Microbiome Differential Abundance Analysis
Differential abundance (DA) analysis aims to identify microbiome taxa whose abundances are different between two or more conditions. …
Jun 13, 2023 10:00 AM ICSA Applied Symposium 2023 Ann Arbor, MI
Mukai Wang, Simon Fontaine, Hui Jiang, Gen Li
Using machine learning to adapt tools predicting esophageal adenocarcinoma for use with electronic medical data
May 6, 2022 10:00 AM MiCHAMP Online
Joel H Rubenstein, Simon Fontaine
See all events