Welcome to Huiwen’s Pages
I am a graduating Ph.D majored in Applied Math from University of California, Irvine. I am actively looking for position as machine learning engineer and data scientist.
My thesis topic is randomized solvers for linear and nonlinear problems in data science. I tried to apply and improve optimization methods in machine learning problems. Here is a glance of my research projects.
I also have a strong interest in applying optimization methods to real world data challenges. Here is a lists of projects for solving real world problems by utilizing machine learning and deep learning techniques. Check Here.
Research Interests:
Numerical Linear Algebra| Random Matrix Theory| Numerical Optimization (CV)
Education Background:
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Ph.D, Mathematics, University of California, Irvine , 2019 (Advisor: Long Chen)
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MS, Mathematics, University of California, Irvine, 2016
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BS, Mathematics: Sichuan Univerisity, 2013