Keynote: Adil Mardinoglu, KTH Royal Institute of Technology: 

Enabling Precision Medicine Using Multiomics and Systems Biology 

Bram Nap, University of Galway:"We Are What We Eat: A Nutrition Toolbox Permits in silico Analysis and Optimization of Personalized Diets through Metabolic Modeling"

Christopher S. Henry, Argonne National Laboratory: Understanding Uncertainty in Model Reconstruction to Produce Insights into Metabolic Progression in the Gut Microbiome

Igor Marín de Mas, Copenhagen University Hospital: Algorithm-Aided Protocol for Constructing Highly Curated Genome-Scale Models of Human Metabolism

Tahereh Razmpour, University of Nebraska-Lincoln: "Integrating Transcriptomics Data, Genome-Scale Metabolic Modeling, and Machine Learning to Elucidate Metabolic Vulnerabilities and Biomarkers in Pancreatic Cancer"

Amit Ghosh, Indian Institute of Technology Kharagpur: Genome Scale-Differential Flux Analysis to Understand Metabolic Deregulation in Lung Cell Post Sars-Cov2 Infection

Daniel Fässler, University Medicine Greifswald: Integrating Genome-Wide Statistical Screenings and Constraint-Based Modeling to Understand Gene-Metabolite Relations Via Microbiome-Personalized Whole Body Models

Nantia Leonidou, Institute for Bioinformatics and Medical Informatics (IBMI) - "Integrative Metabolic Modeling: From Human Nasal Microbiome to Antiviral Target Prediction in the Respiratory Tract"

Gracelyn Richmond, Albert Einstein College of Medicine - "An Integrative in vitro and in silico Platform for Studying Microbial Community Metabolic Dynamics"

Keynote: Paul Jensen, University of Michigan:

Integrating Cobra Models with Closed-Loop Autonomous Experiments

Denis Joly, Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL) - "Less Is More: Efficient Modelling of Cell-Cell Metabolic Interactions Via Minimal Operational Physiological Units (MOPhUs)"

Janaka N. Edirisinghe, Argonne National Laboratory - "Bridging the Gap: Integrating Diverse Fungal Models and Energy Biosynthesis Strategies for Enhanced Understanding of Microbial Ecophysiology"

Kalani Paranagama, School of Translational Medicine, Monash University - "Metabolic Diversity of Klebsiella Pneumoniae and Association with Ecological Niche"

Samira van den Bogaard, RWTH Aachen University - Learning More from Data: Extending Metabolic Models with Concepts of Resource Allocation on the Protein and Transcript Level

Benjamin Strain, Imperial College London - Integrating Industry Leading Datasets with Genome Scale Metabolic Models to Direct Chinese Hamster Ovary (CHO) Cell Metabolic Engineering.

Evangelia Vayena, Swiss Federal Institute of Technology (EPFL) - In silico Functional Comparison of the Leaf Microbiome By Reducing Metabolic Complexity

Ljubisa Miskovic, Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL) - Generative Machine Learning for High-Throughput Dynamic Studies of Metabolism

Rana A. Barghout, University of Toronto - Kingems: Advancing Enzyme-Constrained Genome-Scale Models with Deep Learning Predicted Kinetic Parameters