Assistant Computer Science

Richen Zhang

**********@*****.***

Phone: 603-***-**** Homepage:Linkedin

* ******** ***, ***.***, Providence, RI, 02906

Github: https://github.com/RichardRZ

EDUCATION

Master of Science, Computer Science, Brown University - Providence, RI, GPA:3.7 Dec. 2016 Master of Science, Physics, Brown University, - Providence, RI, GPA: 3.74 May. 2013 Bachelor of Science, Physics, University of Science and Technology of China, - Hefei, China Jun. 2011 SKILLS

Programming: Python, Matlab, C, R, MySQL, Java, JavaScript, CSS, HTML, D3, Hadoop, Tableau, Spark Machine Learning Packages: TensorFlow, Sci-Kit Learn, Sci-Py, NumPy, Pandas, NLP Algorithms Operating Systems: Windows, Linux, Mac OS

Experience

Machine Learning Intern, Ventana Medical Systems, Mountain View, CA May. 2015 Jul.2015

• Implemented Probabilistic Latent Component Analysis (PLCA) Algorithm to realize Unsupervised Color Decomposition of H&E stained images with Improved Accuracy and Robustness

• Pre-processing of H&E images to improve SVM classifier's performance on H&E images

• Within 2 weeks of onboarding, learnt and managed the company's workflow PROJECTS

Deep Learning on Hand-Written Digits Recognition and Language Model Oct. 2015

• Implemented Neural Nets and Convolutional Neural Nets on Hand Written Digits Recognition

• Implemented Feed Forward Language Model and Recurrent Neural Network on Bigram Model

• Human Pose Estimation with Recurrent Neural Network and Markov Random Field.

• Implemented Feed Forward Language Model with Bigram on SQL Query Data with Improved Perplexity Personalized Movie Recommender System (Python,php,MySql), Mar. 2015 – May. 2015

• Served as a Team Captain; Design Project Blueprint and in charge of direction of the project

• Built a Movie Recommendation Engine with Python; Implemented Collaborative Filtering Algorithm (Both Item-Based and User Based)

• Built a Website (http://watsonly.com/project/signin.php) that Assemble the Algorithm with SQL Database

• Hypothesis testing on the correlation between movie score against user's age, region and gender. Airline Delay Prediction with Machine Learning Methods (in Matlab), Sep. 2014 – Nov. 2014

• Predicted Airline Delay using Machine Learning methods using historical data provided online

• Implemented Regularized Linear Regression, Neural Network and Decision Tree methods with Matlab.

• Improved the prediction accuracy to 86%

Machine Learning (in Matlab), Jan. 2013 – May. 2013

• Handwritten Digital Recognition and Spam Classification using Support Vector Machine and Neural Network

• Sentence Decode using Dynamic Programing (Viterbi Algorithm) with Hidden Markov Model Linear Regression Model and Analysis of Systolic Blood Pressure (in R), Oct. 2013 – Dec. 2013

• Performed feature selection using “Lasso” L-1 regularization to predict Systolic Blood Pressure (SBP)

• Performed Stratified analysis, studied the relation between two key genes for SBP, and constructed a new variable by merging two key genes

TEACHINGOrking EXPERIENCE

Teaching Assistant, CS142 Machine Learning Brown University, Jan. 2015- May. 2016

• Held Office Hour for Students’ Questions and Graded Homework and Exam with Class Size of 120 Lecturer & Teaching Assistant, Physics 30/40 Lab Brown University, 2011 – 2013

• Lectured Physics Concept and Lab Procedures Instructions in classroom; Hold Group Discussion Sessions

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