Summary
Daniel Goodman is an assistant professor and synthetic immunology lab head who designs and tests high-throughput genetic programs to reprogram human immune cells for next-generation cell therapies. With a PhD-trained background in synthetic biology from George Church’s lab and postdoctoral immunoengineering experience as a Jane Coffin Childs Fellow at UCSF, he integrates genome-scale engineering, single-cell multiplexed readouts, and computational modeling to uncover design principles for durable, precise therapeutics. He has translated academic innovation into industry impact as a co-founder/advisor to multiple biotech startups and builds both experimental and computational tools—sometimes jokingly calling himself a “DNA jockey.” Based in Philadelphia, he combines deep wet-lab expertise with software-driven analytics to bridge synthetic biology, systems immunology, and translational cell therapy development.
13 years of coding experience
3 years of employment as a software developer
Harvard Medical School
Ph.D Medical Engineering/Physics Bioinformatics & Integrative Genomics, Ph.D Medical Engineering/Physics Bioinformatics & Integrative Genomics at Massachusetts Institute of Technology
Whitaker International Fellowship Bioengineering, Whitaker International Fellowship Bioengineering at University of Cambridge
University of California, San Diego
Doctor of Philosophy - PhD Genome Sciences/Genomics, Doctor of Philosophy - PhD Genome Sciences/Genomics at Harvard University