Dr. Peng Huang
The Johns Hopkins University School of Medicine, USA
Dr. Huang's research is in non-parametric machine learning methods for the prediction model development using multi-dimensional data. She has developed several image texture feature extraction techniques that have been independently tested in studies of pulmonary nodules, renal masses, hypervascular liver lesions, and pancreatic lesions.
Dr. Huang received the 2015 Johns Hopkins Discovery Award for her work in "Lung Cancer Early Diagnosis Using Biomarkers from Multiple Platforms" where she was the principal investigator.
Dr. Huang holds a joint appointment at department of oncology (School of Medicine) and department of biostatistics (School of Public Heath). She directs the Biostatistics Resource of the In Vivo Cellular and Molecular Imaging Center (ICMIC) and previous funded breast cancer SPORE Biostatistics and Bioinformatics Core. She is a member of Clinical Research Review Committee and Institutional Review Board in the Johns Hopkins School of Medicine. Dr. Huang has served as a scientific reviewer on multiple NIH study sections and Department of Defense Congressionally Directed Medical Research Programs (CDMRP) review panels.