HUANG LAB | COMPUTATIONAL OMICS

Entering the <$100 genome era, almost everyone will have their DNA sequenced.

 

Using these genomics data, how do we best predict disease risk and drug targets for each person—so we can best prevent, diagnose, and treat diseases? Could we empower everyone to live healthily to 100-year-old without suffering from devastating illnesses like Cancer and Alzheimer’s disease? 

 

In our research, we link human genomes to personalized disease risks and treatment targets–often by decoding and integrating the functional consequences of disease-driving mutations. We accomplish these goals by developing and applying cutting-edge statistical and machine learning software to diverse, biobank-scale -Omic datasets. Sounds like fun? Join us!