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Throughout my Ph.D. I’ve studied how vaccine scheduling modulates the antibody titer response. Together with with experimental collaborators, we identified a new cellular mechanism that can potentially amplify antibody responses upto 20 times in titers. Based on the mechanistic understanding, I built a stochastic system that simulates our body’s antibody responses from a vaccine: link to code
Since Covid-19, I’ve been part of the proximity sensing research team at PathCheck foundation. The team recently participated in the TC4TL challenge. For this challenge, I built three variations of 1D convolutional neural networks that learns the distance between two Blue-tooth enabled devices from the noisy signal: arXiv link to code
A web app that recommends anti-depressants based on patients’ symptoms and the most common side effects from taking pills: link to code
Kang, M., T.J. Eisen, E.A. Eisen, A.K. Chakraborty, and H.N. Eisen. 2015. PLoS One. 10:e0139222
Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar. 2020. arXiv
H.H. Tam, M.B. Melo, M. Kang, J.M. Pelet, V.M. Ruda, M.H. Foley, J.K. Hu, S. Kumari, J. Crampton, A.D. Baldeon, et al. Proc. Natl. Acad. Sci. USA, 113 (2016), pp. E6639-E664
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