Mo Lotfollahi

Dr. Mo Lotfollahi is a Group Leader in the Cellular Genomics Programme at the Wellcome Sanger Institute and an Adjunct Associate Professor at the Cambridge Centre for AI in Medicine, University of Cambridge. His research focuses on leveraging Artificial Intelligence and Single-Cell Genomics to engineer cells and model their responses to diseases and perturbations.

• PhD in Machine Learning & Computational Biology from Technical University of Munich

Research Interests include:

• Biologically informed deep learning
• Single-cell multi-omic data integration
• Perturbation response modeling
• AI-assisted drug discovery
• Spatial transcriptomics

Scientific Awards:

• Bayer Foundation Early Excellence in Science Award for developing ML algorithms in single-cell omics
• MDSI Best Paper of the Year Award for transfer learning in single-cell data mapping

Lab & Collaborations: The Artificial Intelligence for Cell Engineering (AICE) Lab at Cambridge includes 10+ PhD students and postdocs working on interdisciplinary projects. He collaborates extensively with Relation Therapeutics, Meta AI, and Helmholtz Munich.