Computational Biology and Machine Learning
Institute of Informatics, University of Warsaw
Modern biotechnologies collect an ever-increasing amount of data about model organisms and humans. Genomics and protemics enable us to investigate extremely large numbers of molecular variables simultaneously under experimental and observational conditions. Medical imaging and electronic health records provide new opportunities for scientists and clinicians to improve our understanding of disease classification and prognosis.
Neo Christopher Chung runs a small research group at Warsaw, developing and applying computational and statistical methods for biology and medicine. Please contact, if you are interested in writing a thesis or working with me at Warsaw or remotely. We are currently working on:
- Unsupervised learning and latent variable models to identify
underlying signatures of complex phenotypes,
- Statistical problems in genomics and proteomics to better understand
cardiovascular diseases, cancer, and other diseases,
- Interpretability and explainability for machine learning and neural networks
for spatial and imaging data for oncological applications.