Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Software & Systems Engineer
Branche
Education
Webseite
http://rhymer.github.io
Info
Strong mathematical and computer science skills in
• Probability and random process
• Statistics
• Optimization
• Numerical computing
I am interested in solving theoretical and practical aspects of engineering problems. Throughout the last four years I have gained valuable experience in algorithm design and performance evaluation of communication systems from my internships at Qualcomm and my research in Academia Sinica and UCLA. 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)
Personal website:
https://rhymer.github.io/
Tags
semi-definite programming; generalized moment prob
super efficient; monte carlo simulation; numerical
super-efficient; monte carlo simulations; numerica
matlab; plot; graphics; tutorial; workshop; 2d plo
wireless communications; semi-definite programming
monte carlo simulation; numerical computing; chaos
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