My research program focuses on developing and applying artificial intelligence (AI, e.g. novel deep learning tools) and large-scale statistical techniques for integrative analysis of big multimodal health data (omics data, imaging data, administrative and electronic medical records) for precision medicine. My group also collaborates very closely with local, national and international life science scientists and clinicians on different omics projects. We are actively working in the following four research areas.
Software Tools Developed in The Hu Lab
An OpenMP based tool for finding LCS of DNA sequence data. This repository contains three parallel implementation of the LCS algorithm in MPI, OpenMP, and hybrid MPI-OpenMP platforms. Citation: Shikder et al. 2019, BMC Research Notes.
RecurrentCNV: A graph-based tool to recall recurrent copy number variations. Citations: Kanwar et al. 2015, International Journal of Cancer and Chi et al. 2016, Cancer Informatics.