Summary
Overview
Work History
Education
Skills
Selected Publications
Timeline
Generic

Yang Chen

San Jose

Summary

Seasoned Machine Learning Engineer with proven experience in designing, developing and deploying machine learning algorithms. Strong skills in statistical analysis, data mining and predictive modeling. Demonstrated success in improving system performance through innovative machine learning methods. Proficient at synthesizing complex datasets, defining problems accurately and delivering intelligent solutions that improve business outcomes.

Overview

12
12
years of professional experience

Work History

Senior Machine Learning Engineer

PayPal
San Jose
10.2014 - Current
  • Directed development of core machine learning models for PayPal payment risk, addressing account takeover, card authentication, and non-sufficient fund frauds.Enhanced transaction decline rate, resulting in substantial loss reductions for PayPal.
  • Established Venmo/Xoom modeling framework from inception, leading efforts in adjacent modeling initiatives.
  • Created predictive models employing diverse machine learning techniques, including linear regression and neural networks.

Software Enginer

McAfee
Reston
09.2013 - 10.2014
  • Constructed applications and tools for file generation from low-level network traffic protocols.
    Investigated files to identify potential malicious patterns and strengthen defenses.

Education

Master of Science - Computer Science

Virginia Tech
Falls Church, VA
05-2013

Bachelor of Science - Computer Science

Tsinghua University
Beijing, China
07-2010

Skills

  • Predictive modeling(advanced)
  • Machine learning algorithms: Neural networks, GBT, Random Forests
  • Project Leader, Problem solving
  • Java, Python

Selected Publications

  • Y. Chen, M. Ghorbanzadeh, T. Clancy, R. McGwier. A Hidden Markov Model Detection of Malicious Android Applications at Runtime. IEEE Wireless and Optical Communication Conference (WOCC-214), Newark, NJ, May, 2014.
  • Y. Lu, F. Chen, Y. Chen, C.T. Lu. A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, Washington, July 14-18, 2013
  • Yang Chen: Thesis: Robust Prediction of Large Spatio-temporal Data

Timeline

Senior Machine Learning Engineer

PayPal
10.2014 - Current

Software Enginer

McAfee
09.2013 - 10.2014

Master of Science - Computer Science

Virginia Tech

Bachelor of Science - Computer Science

Tsinghua University
Yang Chen