Chen Lin
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Chen Lin Email & Phone Number

PhD candidate in Statistics at University of California, Riverside at University of California, Riverside
Location: Riverside, California, United States 4 work roles 2 schools
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PhD candidate in Statistics at University of California, Riverside
Location
Riverside, California, United States

Who is Chen Lin? Overview

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Chen Lin is listed as PhD candidate in Statistics at University of California, Riverside at University of California, Riverside, based in Riverside, California, United States. AeroLeads shows a matched LinkedIn profile for Chen Lin.

Chen Lin previously worked as Graduate Student at University Of California, Riverside and Graduate Student at University Of California, Riverside. Chen Lin holds Phd Candidate, Statistics from University Of California, Riverside.

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University of California, Riverside

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Profile bio

About Chen Lin

Motivated and detail-oriented modeler. 5 years SAS/R programming and SQL programming experience.5 years statistical analysis experience.

Listed skills include Sas Programming, Sql, Microsoft Office, Microsoft Excel, and 4 others.

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University of California, Riverside
University Of California, Riverside
PhD candidate in Statistics at University of California, Riverside
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4 roles

Chen Lin work experience

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Graduate Student

Current

Genome-Wide Prediction of IMF2 Data 1. Developed the SREML (stochastic restricted maximum likelihood) method by combining REML method and Bayes Rule and implemented it for integrated study of trait phenotypes and genetic markers in R.2. Achieved the improvement of predictability compared with best linear unbiased prediction (BLUP), ridge regression, LASSO.

Sep 2016 - Present

Graduate Student

Breast Cancer Detection 1. Applied logistic regression, KNN (k-nearest Neighbors), SVM (support vector machine), neural networks and decision trees on detection of breast cancer in R.2. Constructed exploration data analysis to select features that discriminate two groups significantly.3. Evaluated the model performance by cross-validation method and.

Apr 2017 - Jun 2017

Graduate Student

Handwriting Recognition 1. Applied SVM with linear kernel to build a handwriting recognizer to solve multi-class classification problem in MATLAB.2. Reduced the computational demanding by using PCA (principle component analysis) to decrease the data dimension.3. Improved the model performance by replacing linear kernel with RBF (radial basis function).

Sep 2016 - Dec 2016

Intern

Worked in Seller Risk Modeling team at Paypal which maintains statistical models that are used to drive risk actions for seller risk management including hole, reserve, caps and teammate reviews.Worked on full cycle of model development process including data preparation (using Teradata SQL and SAS), variable selection, scoring model development, and model.

Jun 2012 - Aug 2012
Team & coworkers

Colleagues at University of California, Riverside

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2 education records

Chen Lin education

FAQ

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What company does Chen Lin work for?

Chen Lin works for University of California, Riverside.

What is Chen Lin's role at University of California, Riverside?

Chen Lin is listed as PhD candidate in Statistics at University of California, Riverside at University of California, Riverside.

Where is Chen Lin based?

Chen Lin is based in Riverside, California, United States while working with University of California, Riverside.

What companies has Chen Lin worked for?

Chen Lin has worked for University Of California, Riverside and Ebay Inc.

Who are Chen Lin's colleagues at University of California, Riverside?

Chen Lin's colleagues at University of California, Riverside include Xinfei Liu, Jennifer Edwards, Kavitha Madishetty, Aarushi Sahu, and Ruby Franco Martinez.

How can I contact Chen Lin?

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What schools did Chen Lin attend?

Chen Lin holds Phd Candidate, Statistics from University Of California, Riverside.

What skills is Chen Lin known for?

Chen Lin is listed with skills including Sas Programming, Sql, Microsoft Office, Microsoft Excel, Microsoft Word, Powerpoint, Teamwork, and English.

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