Maximillian Lombardo
Maximilian Lombardo is a Senior Product Applications Scientist at the Chan Zuckerberg Initiative, where he collaborates with the CELLxGENE team to engage the single-cell community and enhance the adoption of CELLxGENE tools. In his role, he focuses on educating users and driving the development of resources that support innovative single-cell research. Previously, Maximilian was a Data Scientist at Kallyope, contributing to the development of a gut-brain axis target discovery platform. His work involved integrating single-cell data with viral tracing techniques to identify novel therapeutic targets. Maximilian holds an MSc in Computational Science from the University of Amsterdam and an MA in Biotechnology from Columbia University.
Sessions
As the field of single-cell RNA sequencing continues to evolve, researchers are increasingly interested in using these datasets to train foundational models for a wide range of applications. While training models on smaller datasets that fit into memory is relatively straightforward, scaling up beyond single machines presents significant technical challenges. In this workshop co-presented by TileDB and the Chan Zuckerberg Initiative, participants will receive hands-on experience training models on a large dataset comprising 70 million cells and learn about the key technologies and resources that make this possible.