Research in stochastic optimization:
1.
Protein folding and structure prediction
Sampling method was suggested recently as the
bottleneck in protein structure prediction. We developed a new sampling
algorithm for protein structure prediction and tested it on a popular protein
folding model, HP model. The new method performed significantly better than all
previous methods. As a powerful global optimization algorithm, the new method
will also find application in other problems.
2.
Operations research
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