Dr. Daniel Bojar

Biography

Daniel Bojar is an expert in bioinformatics and glycobiology, with a focus on glycan-focused machine learning systems. He aims to utilize computational and experimental resources to understand the intricate roles glycans play in biology, integrating glycobiology with commonly used high-throughput systems biology methods. His research centers on the complexity of glycans as fundamental biopolymers that exhibit considerable diversity and play critical but often poorly understood roles in development, immunity, pathogenesis, and cancer. His work combines deep learning models with bioinformatics approaches to extract functional insights from diverse glycan sequences. Daniel's expertise in mammalian synthetic biology and protein engineering enables him to utilize insights gained from his research to modify glycans in situ, aiming for innovations in therapeutic modalities in biomedicine. Additionally, he is actively engaged in the development of new analysis methods that integrate computational and experimental approaches in glycobiology, thus advancing the field toward high-throughput analyses.

Research Interests

Experience

Courses