Poster Session 2025
- Home
- Amanda N. D. Adams
- Scarlet Au
- Dayakar Badri
- Alexander Chan
- Marina Chen
- Jose Collado
- Deepika Dinesh
- Danyue Dong
- Jiayi Duan
- Guilherme Fahur Bottino
- Jasmine Garcia
- McKenzie Gehris
- Ishika Gupta
- Mariss Haddad
- Anna Happel
- Kayla Hazlett
- Lauren Hutchinson
- Jordan Jensen
- Charles Jo
- María Alejandra Jové
- Tanya Karagiannis
- Younhun Kim
- Jae Sun Kim
- Helle Krogh Pedersen
- Valeria Lugo-Mesa
- Wenjie Ma
- Daniel MacDonald
- Sithija Manage
- Olivia Maurer
- Nicholas Medearis
- Steven Medina
- Maeva Metz
- Xochitl Morgan
- Jacob Nearing
- William Nickols
- Etienne Nzabarushimana
- Askarbek Orakov
- Mustafa Özçam
- Tathabbai Pakalapati
- Audrey Randall
- Yesica Daniela Roa Pinilla
- María Alejandra Rodriguez-Alfonso
- Patrick Rynkiewicz
- Laura Schell
- Jiaxian Shen
- Meghan Short
- Wilhelm Sjöland
- Daniel Sprockett
- Melissa Tran
- Benjamin Tully
- Chahat Upreti
- Akshaya Vasudevan
- Emily Venable
- Jasmine Walsh
- Dongyu Wang
- Kai Wang
- Ya Wang
- Zhongjie Wang
- Yilun Wu
- Ji Youn Yoo
Poster Session 2025
The Harvard T.H. Chan School of Public Health Microbiome Analysis Core
Presented By: Xochitl Morgan
The Microbiome Analysis Core at the Harvard T.H. Chan School of Public Health was established in response to the rapidly emerging field of microbiome research and its potential to affect studies across the biomedical sciences. The Core’s goal is to aid researchers with microbiome study design and interpretation, reducing the gap between primary data and translatable biology. The Microbiome Analysis Core provides end-to-end support for microbial community and human microbiome research, from experimental design through data generation, bioinformatics, and statistics. This includes general consulting, power calculations, and selection of data generation options, as well as analysis of data from amplicon (16S/18S/ITS), shotgun metagenomic sequencing, metatranscriptomics, metabolomics, and other molecular assays. The Microbiome Analysis Core has extensive experience with microbiome profiles in diverse populations, including taxonomic and functional profiles from large cohorts, qualitative ecology, multi’omics and meta-analysis, and microbial systems and human epidemiological analysis. By integrating microbial community profiles with host clinical and environmental information, we enable researchers to interpret molecular activities of the microbiota and assess its impact on human health.