Chao Huang

407 Statistics Building

117 N. Woodward Ave.

Tallahassee, FL 32306

Chao’s research interests mainly focus on statistical learning of large-scale biomedical data including clinical, imaging, and genomic data. The goal of his research is to develop novel statistical methods and machine learning (deep learning) algorithms for analyzing data with complex structures, including high dimensional data, functional data, manifold data and data with heterogeneity. These statistical methods and computational tools can help us understand the disease progression and improve clinical trials for the treatment and early prevention. Some projects that he is currently working on are: big data integration, manifold data analysis, functional data analysis, imaging heterogeneity, imaging genetics , and deep learning. Chao is also interested in some public datasets including Alzheimer’s Disease Neuroimaging Initiative (ADNI), The Osteoarthritis Initiative (OAI), UK Biobank (UKB), and Human Connectome Project (HCP).

news

Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 7, 2015	A long announcement with details
Oct 22, 2015	A simple inline announcement.

selected publications

PhysRev

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?

Einstein, A., Podolsky, B., and Rosen, N.

Phys. Rev., May 1935

Abs HTML PDF

In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.