Anish (Max) Bagga
Fulbright Scholar
anishbagga@collabs.iisc.ac.in
maxbagga@gmail.com
Education
2019-2023: B.A. in Computer Science, Emory University
Research summary
As a graduate of Emory University with aspirations of entering the medical field and a passion for mathematics & computer science, I seek to connect the medical field with mathematical modeling and machine learning. By bridging both worlds, I hope to bring a unique approach to patient care and medical research. My past research involves modeling influenza reassortment, building a computational model of the human thyroid hormone, and using machine learning to reconstruct ECG profiles. Throughout my time with the Therapeutic Engineering Lab as a Fulbright Scholar, I will model affinity maturation and the germinal center reaction in the presence of multiple evolving antigen epitopes.
Publications
- Bagga, A. D.; Johnson, B. P.; Zhang, Q. (2023). A minimal human physiologically based kinetic model of thyroid hormones and chemical disruption of plasma thyroid hormone binding proteins. Frontiers in Endocrinology, 14. https://doi.org/10.3389/fendo.2023.1168663
- Ganti, K.; Bagga, A.; Carnaccini, S.; … Lowen, A.C. (2022). Influenza A virus reassortment in mammals gives rise to genetically distinct within-host subpopulations. Nature Communications, 13(1), 6846. https://doi.org/10.1038/s41467-022-34611-z
- Ganti, K.; Bagga, A.; DaSilva, J.; Shepard, S.S.; Barnes, J.R.; Shriner, S.; … Lowen, A.C. (2021). Avian Influenza A Viruses Reassort and Diversify Differently in Mallards and Mammals. Viruses, 13, 509. https://doi.org/10.3390/v13030509