Cheng-An Yang

FAQ About Cheng-An Yang

• What is Cheng-An Yang's address?

  Cheng-An Yang is located at
  Sunnyvale, California, United States

• What is Cheng-An Yang's job title?

  Cheng-An Yang is a
  I am a creative problem-solver with strong mathematical and programming skills in • Probability • Statistical Signal Processing • Numerical Optimization • Monte Carlo Simulation Methodology • C/C++/Matlab/Python I am passionate about solving theoretical and practical aspects of engineering problems: • To study the Super-Efficient Monte Carlo Simulation methodology, I went very deep into chaos theory. At the same time, I developed scalable and parallelizable algorithms that significantly reduced computation time. • My invention at Qualcomm improved mobile phone's download speed by 80% using convex optimization and reinforcement learning techniques. I am enthusiastic about learning new techniques and technologies. I taught the course Applied Numerical Computing at UCLA using Julia, an exciting new language which has Matlab-like syntax with C-like performance. The course materials and my projects can be found on my Github page. I am looking forward to applying my skills to solve challenging problems in • Statistical Learning • Non-linear Optimization • High Performance Computing (Monte Carlo simulation, parallel computing) Meta

• What industry does Cheng-An Yang currently work in?

  Cheng-An Yang currently works in the
  Meta

• What is Cheng-An Yang's area of expertise?

  Cheng-An Yang specializes in
  I am a creative problem-solver with strong mathematical and programming skills in • Probability • Statistical Signal Processing • Numerical Optimization • Monte Carlo Simulation Methodology • C/C++/Matlab/Python I am passionate about solving theoretical and practical aspects of engineering problems: • To study the Super-Efficient Monte Carlo Simulation methodology, I went very deep into chaos theory. At the same time, I developed scalable and parallelizable algorithms that significantly reduced computation time. • My invention at Qualcomm improved mobile phone's download speed by 80% using convex optimization and reinforcement learning techniques. I am enthusiastic about learning new techniques and technologies. I taught the course Applied Numerical Computing at UCLA using Julia, an exciting new language which has Matlab-like syntax with C-like performance. The course materials and my projects can be found on my Github page. I am looking forward to applying my skills to solve challenging problems in • Statistical Learning • Non-linear Optimization • High Performance Computing (Monte Carlo simulation, parallel computing)

• Which languages does Cheng-An Yang speak? 

  Cheng-An Yang speaks the following languages:
  No languages available.

• Which industries has Cheng-An Yang previously worked in?   

  Cheng-An Yang has prior experience in the following industries:
  Qualcomm , Qualcomm , Qualcomm , Qualcomm , Ucla , Ucla , Academia Sinica

• What is Cheng-An Yang’s work experience?  

  Cheng-An Yang has the following professional experience:
  Meta , Qualcomm , Qualcomm , Qualcomm , Qualcomm , Ucla , Ucla , Academia Sinica .

• How can I find Cheng-An Yang on LinkedIn?  

  You can view Cheng-An Yang’s
  LinkedIn profile at LinkedIn URL.

• What are Cheng-An Yang’s work email addresses?  

  Cheng-An Yang’s work email addresses are
  [email protected] .

• What company does Cheng-An Yang work for?  

  Cheng-An Yang works at
  Meta