
Diego Chowell, PhD
About Me
Dr. Chowell is a scientist working on problems at the intersection of cancer genomics, immunology, and computational biology. His lab applies approaches from computational biology and machine learning to unravel the molecular determinants of response to immune checkpoint blockade therapy, understand the co-evolution of tumor cells and the human immune system during cancer evolution, and learn the complex rules that govern T cell epitope recognition and immune escape.
He earned his PhD in applied mathematics from Arizona State University and a Master Class Fellowship from Utrecht University, The Netherlands, where he worked on dynamical systems and chaos theory. Dr. Chowell spent a year as a visiting graduate student at the Moe Win Laboratory for Information and Decision Systems at MIT. He was a postdoctoral research fellow in the Timothy Chan Lab at Memorial Sloan Kettering Cancer Center.
Visit the Chowell Laboratory
Language
Position
Research Topics
Cancer, Computational Biology, Immunology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Immunology [IMM]
About Me
Dr. Chowell is a scientist working on problems at the intersection of cancer genomics, immunology, and computational biology. His lab applies approaches from computational biology and machine learning to unravel the molecular determinants of response to immune checkpoint blockade therapy, understand the co-evolution of tumor cells and the human immune system during cancer evolution, and learn the complex rules that govern T cell epitope recognition and immune escape.
He earned his PhD in applied mathematics from Arizona State University and a Master Class Fellowship from Utrecht University, The Netherlands, where he worked on dynamical systems and chaos theory. Dr. Chowell spent a year as a visiting graduate student at the Moe Win Laboratory for Information and Decision Systems at MIT. He was a postdoctoral research fellow in the Timothy Chan Lab at Memorial Sloan Kettering Cancer Center.
Visit the Chowell Laboratory
Language
Position
Research Topics
Cancer, Computational Biology, Immunology
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS], Immunology [IMM]
Locations
Publications
Selected Publications
- Genetic immune escape in cancer: timing and implications for treatment. Francisco Martínez-Jiménez, Diego Chowell. Trends in Cancer
- Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data. Seong Keun Yoo, Conall W. Fitzgerald, Byuri Angela Cho, Bailey G. Fitzgerald, Catherine Han, Elizabeth S. Koh, Abhinav Pandey, Hannah Sfreddo, Fionnuala Crowley, Michelle Rudshteyn Korostin, Neha Debnath, Yan Leyfman, Cristina Valero, Mark Lee, Joris L. Vos, Andrew Sangho Lee, Karena Zhao, Stanley Lam, Ezekiel Olumuyide, Fengshen Kuo, Eric A. Wilson, Pauline Hamon, Clotilde Hennequin, Miriam Saffern, Lynda Vuong, A. Ari Hakimi, Brian Brown, Miriam Merad, Sacha Gnjatic, Nina Bhardwaj, Matthew D. Galsky, Eric E. Schadt, Robert M. Samstein, Thomas U. Marron, Mithat Gönen, Luc G.T. Morris, Diego Chowell. Nature Medicine
- What unique insights can modeling approaches capture about the immune system?. Hao Yuan Kueh, Andreas Handel, Alexander Hoffmann, Diego Chowell, Rachel A. Gottschalk, Harinder Singh, Ronald N. Germain, Martin Meier-Schellersheim, Kathryn Miller-Jensen, Grégoire Altan-Bonnet. Cell Systems