
About
Brandon DeKosky, PhD, is an Assistant Professor at the Massachusetts Institute of Technology with a joint appointment between the Department of Chemical Engineering and the Ragon Institute of MGH, MIT, and Harvard. His research develops high-throughput experimental and computational platforms for molecular analysis of adaptive immune responses, with applications in viral infections, autoimmunity, and cancer.
Education:
- PhD in Chemical Engineering, University of Texas at Austin (Hertz-supported)
- BS in Chemical Engineering, University of Kansas
Research Interests:
Dr. DeKosky pioneers repertoire-scale single immune cell analysis and protein engineering to decode adaptive immune responses. His work focuses on major public health threats including HIV-1 and RSV, with discoveries advancing commercial drug development for infectious diseases, autoimmune disorders, and oncology applications. His lab integrates computational biology with experimental immunology to map antibody repertoires and T cell functionality.
Scientific Awards:
- Hertz Foundation Graduate Fellowship
- NSF Graduate Fellowship
- Donald D. Harrington Graduate Fellowship
- K99 Pathway to Independence Award (2016)
- NIH Early Independence Award (2016)
- Department of Defense Career Development Award
- Biomedical Engineering Society Rising Star Award
- AIChE Young Faculty Futures award
- Industrial and Chemical Engineering Research Class of Influential Researchers (2021)
Mentoring and Grants:
Dr. DeKosky actively mentors through the Institute for Maximizing Student Development (IMSD), Post-Baccalaureate Research Education Program (PREP), and MIT Summer Research Program. His research is supported by NIH K99, Early Independence, and Department of Defense Career Development awards, focusing on innovative vaccine technologies and immune repertoire analysis.
Labs and Teams:
His laboratory operates at the intersection of MIT Chemical Engineering and the Ragon Institute, collaborating with immunologists and clinicians to translate high-throughput immune profiling into therapeutic applications for global health challenges.
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