Machine Learning for Multiscale Analysis of Biomedical Data

Annotation 2020-03-27 175431

Our research group seeks new avenues for holistic understanding against infectious diseases at the meeting point of mathematics, machine learning, and infection biology. By integrating multi-scale experimental data, mathematical modeling, and the power of computational simulations we aim to:

  • Tackle viral infections such as HIV, influenza, Ebola and COVID-19.

  • Dissect host immune-regulatory mechanisms during acute and chronic infections, and their respective evolution in the host

  • Develop multi-scale computational algorithms and  models for decision making  to influence the use of vaccines and drugs

  • Mitigate antimicrobial resistance

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