Dave Gifford

Dave Gifford is a Professor at the Massachusetts Institute of Technology, affiliated with the Computer Science and Artificial Intelligence Laboratory under the School of Engineering. His research focuses on developing machine learning techniques to model transcriptional regulatory networks that govern gene expression and chromatin structure in living cells.

• Specializes in computational genomics and interdisciplinary collaborations with biologists
• Developed software tools like SPROUT for chromatin interaction analysis
• Current projects include modeling chromatin memory systems and optimizing peptide vaccines

His work integrates high-throughput genomic data to understand cellular differentiation mechanisms, with potential applications in regenerative medicine and vaccine design. Key software tools developed in his lab include GRAM for regulatory module discovery and PIQ for transcription factor binding prediction.