Projects

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

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

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

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

ChillPill

A web app that recommends anti-depressants based on patients’ symptoms and the most common side effects from taking pills: link to code

Sunny Myungsun Kang

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