SAS, R, Statistics, Biostatistics, Machine learning, Deep Learning

Yi Li

*** ****** ****** *****, *** #***, Chapel Hill, NC (27514)

% +1-919-***-**** ) ***********@*****.***

Education

May 2018 University of North Carolina at Chapel Hill Sep 2016 Gillings School of Public Health

Major Master of Science in Biostatistics

June 2016 University of Shanghai for Science and Technology Sep 2012 School of Science

Major Bachelor of Science in Mathematics and Applied Mathematics GPA Overall: 3.67/4.0, Major: 3.72/4.0

Key Skills

SAS

R

Latex

Microsoft Office, including Excel, Word and Access

Machine Learning (authorized by Stanford University through Coursera)

Neural Networks and Deep Learning (authorized by Stanford University through Cours- era)

Bayesian Statistics (authorized by UC Santa Cruz through Coursera)

Experience in Python, Matlab (Octave), Mathematica, Eviews University Innovation Project

March 2015 Report: “Detection of Harmful Composition in Common Lipsticks”

Conducted an online survey to know the most popular lipsticks peo- ple are using every day

Assisted two chemistry and medicine students in testing harmful ingredients in those lipsticks

Collected and demonstrated data in the experiments in Excel

Wrote the final thesis: “Detection of Harmful Composition in Com- mon Lipsticks”

Won RMB 5000

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Yi Li

107 Timber Hollow Court, Apt #332, Chapel Hill, NC (27514), USA

% +1-919-***-**** ) ***********@*****.***

Working Experience

Sep. 2017-Current UNC Gillings School of Public Health Research Assistant

Advisor: Eric Bair

Provide SAS programming support for Dr. Bair’s OPPERA study Nov. 2017-Current UNC Institute of Global Health and Infectious Diseases Data Entry Technician

Conduct data entry for a longitudinal study of survivors of the West African Ebola outbreak

Check missing data with research assistants

Jun. 2012-2016 Piano Tutor

Instructed 5 students to pass the piano grade examinations held by Shanghai Musician Association

Awards and Honors

February 2015 Honorable Mention Mathematical Contest in Modeling (MCM) Report: “The Plane Lost and Found”

Searched performance specifications of certain kinds of aircrafts on- line

Established effective differential equations of MH 370’s movements to predict its approximate position in the ocean

Verified the generalization of our models by testing the accident of Air France Flight

Showed outstanding ability of writing academic paper September 2014 The Second Prize China Undergraduate Mathematical Contest in Modeling (CUMCM)

Team Leader Report: “Soft Landing Orbit Design and Control Strategy of Chang’e 3”

Arranged tasks for team members according to their strengths

Searched information, formula and data about Chang’e 3 on Google Scholar

Utilized law of physics to set up appropriate mathematical models

Plotted function curves in Mathematica 9.0

Led the team to finish the paper within 3 days

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