CV

Education

Ph.D. Carnegie Mellon University, Civil Engineering, 2016.9 - 2021.09 (expected)
M.S. Carnegie Mellon University, Machine Learning, 2018.9 - 2020.5
M.S. Dalian University of Technology, Structural Engineering, 2011.9 - 2014.6
B.S. Dalian University of Technology, Civil Engineering, Economics (minor), 2007.9 - 2011.6

2021.11 - : applied scientist @ Amazon
- end-to-end development and deployment of offline Reinfocement Learning-based agent
- develop fraud prevention model and maintain evaluation system end-to-end
- tabular represenation learning through tree-based encoding
2016.3 - 2016.9: Data Scientist @ LeanFM Technologies
- wrangled and standardized 1M work orders data from 5 sources, trained Named Entity Recognition models and achieved F1 score of 0.85.
- designed interactive interface (R Shiny) for visual data analysis and work order labelling, which reduced overall processing time by 30%.

Programming language: Python, Java, C++, R, Matlab, JavaScript
Machine Learning: Graph Nueral Network, Reinforcement Learning, NLP, Computer Vision
Data Modeling: Stochastic Control, Spatial-Temporal Modeling, Multimodal Analysis
Packages: PyTorch, Tensorflow, Numpy, Pandas, Sklearn, Statsmodels

Programming and Algorithm: Introduction to Computer Systems (15513); Algorithms and Advanced Data Structures (15650); Data Structure for Application Programmers (08722); Java and J2EE Programming (08600)
Machine Learning and Statistics, thoery: Introduction to Machine Learning (10701); Reinforcement Learning (10703); Topics in Deep Learning (10707); Advanced Machine Learning (10716); Regression Analysis (36707); Probability Models and Stochastic Processes (36733)
Machine Learning, application: Machine Learning with Large Datasets (10605); Machine Learning for Text Mining (11741); Speech Recognition and Understanding (11751); Computer Vision (16720)
Control and Optimization: Convex Optimization (10725); Dynamic Programming (47840); Stochastic Control and Application in Finance (21882)