Annie Hoen, PhD

Annie completed her PhD in epidemiology and public health at Yale University and was a postdoctoral fellow at Harvard Medical School. She is currently an Associate Professor of Epidemiology, of Biomedical Data Science and of Microbiology & Immunology at the Geisel School of Medicine at Dartmouth. 

Hardik Gupta, MENG

Hardik is a Research Assistant III (Data Science) in the Hoen Lab at Dartmouth, where he builds research software and infrastructure spanning DevOps, data engineering, and machine learning to make complex biomedical datasets analysis-ready. He partners with biostatisticians to develop and maintain analysis tools and is actively exploring deep-learning approaches for feature extraction and predictive modeling.

Lily Macveagh, BA

Lily completed her bachelor's degree in Sociology at Hamilton College with a minor in French. She has been a Research Assistant in the Hoen Lab since 2024, working on data harmonization and data sharing.

FIONA MCENANY, MPH

Fiona is a microbiology and immunology PhD candidate. She graduated from The Dartmouth Institute for Health Policy and Clinical Practice with a Master of Public Health and Plymouth State University with degrees in biology and political science. She studies how gestational age at the time of maternal vaccination impacts maternal antibody response and neonatal transfer.

Seamus Stein, MS

Seamus is a front-end software developer and statistical analyst in the Hoen Lab. Prior to joining the department he earned his Master of Science in Quantitative Biomedical Sciences concentrating in health data science at Dartmouth College, and his Bachelor’s degree in Data Science with minors in Mathematics and Philosophy & Ethics at Saint Michael’s College.

Scot zens, PhD

Scot is a research scientist with expertise in the analysis of case/control data, survival analysis, and the pooling of studies to address questions in heterogeneous data. He also designs and implements systems for collecting, standardizing and providing quality control for all types of research data.

JIE ZHOU, PHD

Jie completed his PhD in statistics and mathematics at Xidian University, China. He has worked as a reserach scientist at Dartmouth College since July 2018 with both the Hoen Lab and Professor Jiang Gui. He develops statistical tools such as time series models and graphical models to decipher complex relationships within the human microbiome and metabolome and associated health outcomes.

Immunoodle

Immunoodle is a suite of software tools for the management, quality control, and sharing of immunoassay data. Immunoodle makes it easy for researchers to quality check, analyze, and share their data. Immunoodle powers discovery by improving statistical power, increasing rigor and transparency, and enabling data reuse and pooled analysis.

Immunoodle tools are based in Python, PostgreSQL, and R Shiny and available on GitHub.

Interactive serology plate inspector (I-SPI)

I-SPI is an open-source web application designed to streamline quality control and quality assurance for multiplex immunoassays. It provides a unified workflow that supports both automation and user decision making while remaining grounded in objective statistical algorithms.

lglasso: Longitudinal Graphical Lasso

For high-dimensional correlated observations, the lglasso R package carries out the L_1 penalized maximum likelihood estimation of the precision matrix (network) and the correlation parameters. The correlated data can be longitudinal data (may be irregularly spaced) with dampening correlation or clustered data with uniform correlation. For the details, please see: Zhou J, Gui J, Viles WD, Chen H, Li S, Madan JC, Coker MO, Hoen AG. Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data. Front Microbiomes. 2024;3:1366948. doi: 10.3389/frmbi.2024.1366948. Epub 2024 Jun 2. PMID: 40687607; PMCID: PMC12276884. lglasso is available on GitHub