Prof.  Wanyang  Dai
Nanjing University,  China

Title: Machine learning gene mutation and codon optimization for protein production

Abstract:

We conduct gene mutation rate estimations via developing mutual information and Ewens sampling based convolutional neural network (CNN) and machine learning algorithms. More precisely, we develop a systematic methodology through constructing a CNN. Meanwhile, we develop two machine learning algorithms to study protein production with target gene sequences and protein structures. The core of the CNN and machine learning approach is to address a two-stage optimization problem to balance gene mutation rates during protein production. To wit, we try to optimally coordinate the consistency between the given input DNA sequences and the given (or optimally computed) target ones through controlling their intermediate gene mutation rates. The purposes in doing so are aimed to conduct gene editing and protein structure prediction. For example, after the gene mutation rates are estimated, the computing complexity of protein structure prediction will be reduced to a reasonable degree. Our developed CNN numerical optimization scheme consists of two newly designed machine learning algorithms. The stochastic gradients for the two algorithms are designed according to the Kuhn-Tucker conditions with boundary constraints and with the support of Ewens sampling, multi-input multi-output (MIMO) mutual information, and codon optimization techniques. The associated learning rate bounds are explicitly derived from the method and the two algorithms are numerically implemented. The convergence and optimality of the algorithms are mathematically proved.

Biography:

Wanyang Dai is a Distinguished Professor in Nanjing University and Chief Scientist in DepthsData Digital Economic Research Institute. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society in China, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee in China. He received his Ph.D. from Georgia Institute of Technology in USA. He was a MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He published numerous influential papers in big name journals and received various academic awards. He has presented around 40 keynote/plenary speeches in IEEE/ACM, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from pure mathematics & statistics to their applications.