Hang Chang
Computational Staff Scientist
Building: 977, Room 291
Mail Stop: 977
Phone: (510) 495-2262
HChang@lbl.gov
http://bmihub.org/users/hang-chang
Links
Divisions
Biological Systems and Engineering
- BioEngineering & BioMedical Sciences
Secondary Affiliation:
Molecular Biophysics and Integrated Bioimaging
- Cellular and Tissue Imaging
Research Interests
The research interests in my lab are primarily centered at interfaces between engineering, computation and biology. Our current research focus is on knowledge discovery and inference from large scale scientific data with applications to computational biology and biomedical informatics, including,
- Identification of imaging bio-markers towards personalized therapy; and,
- Development of a big data oriented open-source Information Technology (IT) solution for domain adaptive biomedical informatics.
Recent Publications
Related News
Toward a Genetic Understanding of Variability in Radiation Sensitivity
Injury to immune-system and blood-forming cells is a common side effect of radiation therapy, which more than half of all cancer patients receive as part of their treatment. Biosciences Area researchers and their collaborators used a genetically diverse mouse population to model individual differences in sensitivity to radiation exposure.
Genetic Background Influences Cancer Risk of Thirdhand Smoke Exposure
A new study investigating the effect of thirdhand smoke (THS) in a mouse model system specially designed to mimic the genetic diversity of human populations has shed new light on how genetic predispositions contribute to an individual's cancer risk. This work is an instrumental step towards building a more realistic understanding of how tobacco smoke residue could impact cancer risk in people.
Machine Learning Helps Link Chemical Exposure and Obesity
Scientists at Berkeley Lab and their collaborators developed a machine learning technique to discover obesity-related mixed chemical exposure patterns associated with environmental health risk in the general U.S. population. To assess this, they used indicators like body mass index and waist circumference.
