To join the mailing list or for more information, please contact yyl@channing.harvard.edu
——————————————————————– 2024 ————————————————————————–
05/03/2024 Samuel Forster (Hudson Institute of Medical Research): TBD
03/22/2024 Pixu Shi (Duke University): Statistical Analysis of Longitudinal Microbiome Data
03/08/2024 11am Sean Gibbons (Institute for Systems Biology): You are what you eat!
03/08/2024 9am Yiyan Yang (NIH): Large-scale Genomic Survey with Deep Learning-based Method Reveals Strain-Level Phage Specificity Determinants
02/16/2024 Jie Deng (MIT): The development of ecological systems along paths of least resistance
01/26/2024 Seppe Kuehn (U Chicago): Predicting microbiome function from genomic and taxonomic composition
——————————————————————– 2023 ————————————————————————–
12/08/2023 Ali Zomorrodi : Decoding the role of breast milk microbiome and probiotics in early life gut microbiome development
11/10/2023 Zhang Wang : The Respiratory Microbiome in COPD
10/27/2023 Lei Dai : Quantitative ecology of host-associated microbiomes
10/13/2023 Kyu Ha Lee: MMZIP: A scalable multivariate variable selection approach for zero-inflated count data
09/29/2023 Jason Norman: Developing a Defined Bacterial Consortium for Clostridioides Difficile Infection (CDI)
09/22/2023 Zheng Sun: Reduced-Representation Metagenome Expands the Boundary and Accuracy of Microbiome Research
09/16/2023 Jintao Liu: Spatial coordination of metabolism in bacterial communities
06/23/2023 Kangjin Kim : Phylogenetic Tree-based Microbiome Association Test for Composition Bias
06/09/2023 Ines Thiele : Large-scale reconstruction of the microbiome highlights widespread drug-metabolising capacities
05/26/2023 Francisco J. Planes : Network-based computational modeling of metabolism of the human gut microbiota with views to personalized nutrition
05/12/2023 Joseph Zackular : Pathogen-microbiota interactions during Clostridioides difficile infection
04/28/2023 Karoline Faust : Lessons from synthetic human gut bacterial communities
04/14/2023 Jun wang: Nanopore sequencing and Natural Language Processing in Microbiome analysis and translation
03/31/2023 Rita Almeida Oliveira : Gut microbiota modification of dietary metabolites to guide symbiotic bacterial consortium design against Klebsiella pneumoniae gut colonization
03/17/2023 Yu Deng : Use of sewage surveillance for SARS-CoV-2 in Hong Kong
03/03/2023 Zheng Sun: Eliminating false positives in metagenomic profiling based on type IIB restriction sites
01/27/2023 Sarah Berry: Personalised nutrition for metabolic health
01/13/2023 Kathy Lee-Sarwar: The Maternal Prenatal and Offspring Early-Life Gut Microbiome of Asthma
——————————————————————– 2022 ————————————————————————–
03/01/2022 Natasha Palacios: The gut microbiome and Parkinson’s disease
03/11/2022 Hannah Laue: The Role of the Microbiome in Environmental Epidemiology
03/25/2022 Amy Willis: Model misspecification in microbiome studies
04/08/2022 Jeff Xia: Using metabolomics and multi-omics for functional insights into microbiome
04/22/2022 Michael Wu: Statistical Analysis of Large-Scale Microbiome Profiling Studies: Batch Effects and Robust Testing
05/06/2022 Gang Fang: Illuminating bacterial DNA methylation to understand microbiome and human epigenome
06/17/2022 Susan Bullman: Assessing the contribution of the intratumoral microbiota to the tumor microenvironment
09/09/2022 Fangqing Zhao: Novel methods in microbiome data integration and their applications
09/23/2022 Sergei Maslov: Cross-feeding networks, diauxic shifts, and stable marriage in the human gut microbiome
10/07/2022 Qiyun Zhu: Upgrading microbiome data science with relationship graphs
10/21/2022 Jiliang Hu: Emergent phases of ecological diversity and dynamics mapped in microcosms
11/04/2022 Ophelia Venturelli: Emergent phases of ecological diversity and dynamics mapped in microcosms
11/18/2022 Jingyuan Fu: The gut microbiome as a window into individual vulnerability and resilience
12/02/2022 Hannah Holscher: Effects of diet on the human microbiota and metabolome
12/06/2022 Ayan Chatterjee: Identifying interactions between novel protein targets and ligands – AI-Bind and AI-assisted molecular docking
12/16/2022 Yajuan Lin: Deep Learning for Predicting 16S rRNA Gene Copy Number
——————————————————————– 2021 ————————————————————————–
02/02/2021 Dong Wang: The gut microbiome modulates the protective association between a Mediterranean diet and cardiometabolic disease risk
03/05/2021 Sebastián Michel Mata: Predicting microbiome compositions using deep learning
04/16/2021 Cameron Martino: Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
06/04/2021 Jun Chen: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data
06/25/2021 Leyuan Li : Revealing Protein-Level Functional Redundancy in the Human Gut Microbiome using Ultra-deep Metaproteomics
10/22/2021 Amir Bashan: Complexity-stability relationship in empirical microbial ecosystems
11/05/2021 Shanlin Ke: The relationship between emotions and gut microbiome in a women adult cohort
11/19/2021 Chen Liao: Oral bacteria in feces reflect loss of intestinal bacteria
12/17/2021 Yanjiao Zhou: The airway fungal and bacterial microbiome and loss of asthma control in asthmatic children
——————————————————————– 2020 ————————————————————————–
01/31/2020 Chulianng Song : An environment-dependent framework of ecological network structures
10/09/2020 Wenping Cui: Statistical Mechanics of Microbiomes
12/04/2020 Andrea Aparicio: Identifying sensor species to predict critical transitions in complex ecosystems
——————————————————————– 2019 ————————————————————————–
05/03/2019 Xuesong He : Human oral nanobacteria: walking the fine line between parasitism and mutualism
04/26/2019 Isabel Fernandez Escapa : Achieving species-level resolution from 16S rRNA gene short-read data using a high-resolution training set with the RDP naïve Bayesian Classifier
04/19/2019 Jaeyun Sung : Identifying Microbial Signatures of Gut Wellness through a Multi-study Integration of Human Stool Metagenomes
03/15/2019 Gabriel E Leventhal : Uncovering co-evolution in natural microbial consortia using genomics: from wastewater granules to pink berries
03/01/2019 Alvaro Sanchez: Predicting the assembly of complex communities in simple environments
01/11/2019 Emrah Altindis : Viral insulin-like peptides activate human insulin and IGF-1 receptor signaling: A paradigm shift for host–microbe interactions
——————————————————————– 2018 ————————————————————————–
12/17/2018: Gang Fang : Illuminating Bacterial Epigenomes: Technologies, Pathogens and Microbiome
11/08/2018: Yanjiao Zhou : The Gut Microbiome in Cross-organ Interaction
08/10/2018: Naama Geva-Zatorsky : Mining the gut microbiota for immunomodulatory organisms
07/27/2018: Xiaofang Jiang : Comprehensive analysis of mobile genetic elements in the gut microbiome reveals phylum-level niche-adaptive gene pools
06/08/2018: Ali Ebrahimi : Microbial enzymatic strategies shape community assembly on particulate carbohydrates
03/16/2018: Xinhua Chen : Colonic vascular barrier function in C. difficile infection
02/16/2018: Ahmed Metwally : Longitudinal Computational Microbiome Methods: Identification, Modeling, and Classification in a Pediatric Lung Transplant Cohort
——————————————————————– 2017 ————————————————————————–
12/01/2017: Katherine Lemon : Nose Picking for Progress: Mining the Nasal Microbiome for New Insights into Pathobionts
11/17/2017: Chuliang Song : Feasibility Analysis of Ecological Systems
10/20/2017: Yu Chen : Mechanistic studies of SRR adhesin biogenesis pathway of Streptococcus gordonii
10/10/2017: Marco Angulo : Controlling microbial communities: a theoretical framework
9/15/2017 Xin Wang : Optimal growth of microbes in the presence of mixed carbon sources
6/9/2017 Dingding An : Microbial sphingolipids modulate host epithelium homeostasis and disease
5/26/2017 Min Dong : Biology and Engineering of Bacterial Toxins
4/28/2017 Dong Kong : Genetic and Optic Dissection of Neuron-Metabolism
4/14/2017 Travis Gibson : Dynamics, Inference (Bayesian), and Experimental Design (for inference) in the Microbiome
3/31/2017 Sean Gibbons : How do we model gut microbial dynamics?
3/24/2017 Fangqiong Lin : Estimating human population from Sewage Samples
——————————————————————– 2016 ————————————————————————–
12/09/2016 Jonathan Friedman : Synthetic Ecology: Building Microbial Communities from the Bottom Up
12/02/2016 Philip Strandwitz : The Gut-Brain-Axis: Discovering GABA-modulating bacteria
9/23/2016 Nissan Yissachar : Thinking outside the mouse: Dissecting host-microbiome communications ex-vivo
9/2/2016 Joseph N. Paulson : Accounting for artifacts in high-throughput sequencing data
7/22/2016 Aleksandar D. Kostic: Unraveling the links between the gut microbiome and type 1 diabetes
5/6/2016 Ali R. Zomorrodi : Computational Systems and Ecosystems Biology of Microbial Metabolism
4/15/2016 Babak Momeni : Modeling microbial communities as a network of chemically mediated interactions
4/1/2016 Serguei Saavedra : How do ecological systems respond to environmental variations?
3/11/2016 Georg Gerber : Computational and synthetic biology approaches for developing bacteriotherapies
3/4/2016 Jaeyun Sung : Global metabolic interaction network of the human gut microbiota with community-level disease implications
2/12/2016 David Riglar : Gut Feelings: engineering bacterial circuits to probe the mammalian gut in sickness and in health
——————————————————————– 2014 ————————————————————————–
06/20/2014 Jaeyun Sung : Global Metabolic Interaction Network of the Human Gut Microbiota
03/28/2014 Jonathan Friedman : Inferring Correlation Networks from Genomic Survey Data