Master of Science - MS (Computer Science (Systems, Machine Learning & AI))
University of Science and Technology of China
Bachelor of Science - BS (Statistics)
Carnegie Mellon University
Advanced Stochastic Calculus
Peking University
Cloud Computing and Distributed Systems
Foothill College
Spanish, Communications, Information Technology
Camden Wang's Skills
R
SAS
Statistics
Python
LaTeX
Programming
Data Analysis
Research
Microsoft Office
Matlab
Camden Wang's Summary
Camden Wang, based in California, United States, is currently a Quantitative Associate, Disciplined Alpha at Loomis, Sayles & Company, bringing experience from previous roles at GIC, UPMC, J.P. Morgan and Amgen. Camden Wang holds a Doctor of Philosophy - PhD in Statistics @ University of Pittsburgh. With a robust skill set that includes R, SAS, Statistics, Python, LaTeX and more, Camden Wang contributes valuable insights to the industry. Camden Wang has 1 email and 1 mobile phone number on RocketReach.