MY PROFILE
2020-07-06
EDUCATION:
- University of Pennsylvania
2018.08 — 2020.05
Philadelphia, PA, USA
Master of Science in Engineering, School of Computer and Information Science - Brandeis University
2014.08 — 2018.05
Waltham, MA, USA
Bachelor of Science in Computer Science, Mathematics Double Major, graduated with Highest Honors
PROFESSIONAL EXPERIENCES:
- The Hershey’s Company, Digital Innovation Lab at Pennovation
Machine Learning Research Assistant
Summer Internship: 2019.06 — 2019.08
Student Employment: 2019.08 — 2020.05
Project Details:- Auto-vending project: Explore possibility of mobile Hershey’s vending machine. Created simulation environment in python , optimized algorithms with ε-trade-offs and TD-learning. Proved a 17% sales gain in simulation; received further investments.
- User Basket data exploratory analysis: Analyzed user basket data with Pandas DF, Spark DF, and association rules for top- ranked baskets. Utilized SKLearn KMeans and Principle Component Analysis(PCA) for statistical analysis. Constructed Neural Network(NN) in PyTorch to generate user basket recommendations for Hershey’s product.
- Maintaining updates on humanoid robots and Azure cloud services.
- China MaoYan Culture Media
Computer Vision Engineer
Internship: 2018.06 — 2018.08
Project Details:- Face classification project: Constructed celebrity face databases with Hive, beautiful soup web-crawler. Trained facial feature extractor and classifier based on FaceNet and Harrcascade classifier. Implemented SKLearn SVM, Tensorflow NN.
- Face replacing project: Implemented face replacing program using OpenCV2 warpAffine method, achieved face gradient from user images to target images. Project went online in Maoyan mobile APP, the biggest movie ticket online vending APP.
- Brandeis University
Undergraduate Teaching Assistant
Student Employment: 2017.02 — 2018.05- Undergraduate TA for Advanced Programming Techniques in Java from 2017.02 — 2017.05.
- Undergraduate TA for Operating System from 2017.08 — 2017.12.
- Undergraduate TA for Theory of Computation from 2018.01 — 2018.05.
RESEARCH EXPERIENCES
- Senior Thesis Research on Neural Network and Blind Source Separation
Advisor: Professor Pengyu Hong, Computer Science Department, Brandeis University
2017.09 — 2018.05
Waltham, MA, USA
Followed theoretical researches in statistical learnings and blind source separation (BSS); incorporated independent component analysis (ICA) and online non-negative matrix factorization (NNMF) in Convolutional Neural Network(CNN) to create a new image classification structure to reduce the time spend on training.
IMPORTANT PROJECTS
- Web Development and database project
developed a web application for a movie database, utilized AngularJS, Node.js, MySQL, and MariaDB to complete a front- end back-end integration. - Project on Brandeis Class Search
Developed an Android Mobile App searching and retrieving class information at Brandeis University from online sources. Achieved light-weight application with multi-thread downloads. - Project on Poem Generation Models
Implemented basic N-gram models and Bayesian Networks to generate baseline text generation models. Based on Hafez system, created an advanced text generation model that generates sonnet with iambic meters using PyTorch word level RNN with LSTM), finite state automata, and beam search algorithm. - Shakespeare Text Clustering and Analysis Project
Implemented exploratory data analysis using Jaccard Distance and PPMI to analyze similarities between phrases and articles. Using SKLearn KMeans and Variance Ratio Criterion(VRC) with elbow plots to compare shakespearean plays and characters. - Project on Handwritten Equation Recognition
Achieved identification of handwritten math symbols. Implemented Convolutional Neural Network(CNN) with TensorFlow, CV2, and data augmentation techniques.