I am an Assistant Professor of Biomedical Engineering and Computer Science at Duke University. Research in my Programmable Biology Group (https://www.chatterjeelab.com/) exists at the interface of computational design and experimental engineering, specifically employing artificial intelligence (AI) to generate programmable proteins for applications in genome, proteome, and cell engineering. Having completed my SB, SM, and PhD from MIT, I have engineered genome editing technologies that represent some of the broadest, safest, and most effective CRISPR enzymes to date. More recently, my established expertise in deep learning-based design has been applied to develop transcription factor-based stem cell differentiation protocols for ovarian cell types, including primordial germ cells and oocytes. My lab’s research at Duke has now extended to the emergent field of “proteome” editing, where our team leverages generative language models to design potent “guides” peptides that bind and post-translationally modify pathogenic proteins, including those implicated in genetic diseases, viral diseases, and cancer. Overall, the long-term goals of my lab are to de novo design protein-based tools for therapeutic, agricultural, and environmental applications by integrating the newest advances in generative AI with robust experimental engineering platforms.
I am also very passionate about translating my academic research to the clinic as efficiently as possible. As such, I have co-founded two companies, UbiquiTx, Inc. and Gameto Inc., which are building upon my foundational research to develop novel protein-based cancer therapeutics and fertility solutions, respectively. Most importantly, I am a firm believer in the power of conducting impactful science in an inclusive and supportive environment. As such, I have been determined and active in creating academic and community environments that welcome students of diverse backgrounds to science and engineering.