Manos Metzakopian

In this engaging discussion, Manos Metzakopian, Co-founder and CEO of CellCodex, delves into creating AI-ready biological datasets. He highlights the critical need for reproducible perturbation data to advance drug discovery and causal modeling in biology. Manos explains how AI will accelerate decision-making in target selection and disease modeling. He also addresses the importance of single-cell multi-omics and emphasizes the balance between biological plausibility and predictive accuracy in data generation. His insights into fostering collaborations and ensuring strict quality control throughout the process are invaluable.