CV

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Education

• B.S. in Chemical engineering, Biology(minor) KAIST, 2012
• M.S. in Chemical engineering practice, MIT, 2016
• Ph.D Thesis: “Optimizing vaccine dosing kinetics for stronger antibody response” MIT, 2019

Work experience

• Pro Bono research scientist, PathCheck (*currently)
• Senior data scientist, Wayfair (*currently)
• Fellow, Insight Data Science
• Graduate researcher, MIT

Projects

Simulating Antigen dosage and key immune cell kinetics using modified explicit tau-leap Gillespie simulation

1D Convolutional neural nets for inferring distance from time series records of Bluetooth signals

ChillPill

Publications

Affinity inequality among serum antibodies that originate in lymphoid germinal centers

Kang, M., T.J. Eisen, E.A. Eisen, A.K. Chakraborty, and H.N. Eisen. 2015. PLoS One. 10:e0139222

Proximity Sensing for Contact Tracing

Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar. 2020. arXiv

Sustained antigen availability during germinal center initiation enhances antibody responses to vaccination

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

Skills

• Discrete stochastic simulation, vaccine-induced immunology, vaccine design, Causal inference, Bayesian statistics, Inferential statistics
• Machine learning, NLP, MLP for regression and classification, Convolutional neural nets, Recurrent neural nets, GANS