# Woman in STEM & DS
Biostatistician, Data Scientist, Researcher, Certified SAS Programmer
Leave Me Message Download Full CVHello! I am Amanda (Lin) Li. (Bio)statistician, Data Scientist, Cognitive Science Researcher
I have plenty of working experience in the field of (bio)statistics and data science. I provide day-to-day support for my teammates with the R & D of new drugs and medical devices; I also work on scientific research in the academic world.
My typical working day is filled with managing, transferring and dumping large-scale database in server, designing statistical analysis plan (SAPs), performing analyses upon cross-sectional,longitudinal and/or high-dimensional data, generating reproducible statistical data QC and analysis reports using R/RMarkdown , SAS and/or Python. Occasionally, I also collaborate with Web Apps development using Rshiny, HTML/CSS, as well as imaging processing with machine learning algorithms.
September 2021 - Present
I am working as a key member in the Data Science and Management group of the Adolescent Brain Cognitive Development (ABCD) Study. I contribute to database build and management, QC process, and reproducible reports generation. I also help with data exploring and analyzing towards high-dimensional behavioral (e.g., survey responses), experimental (e.g cognitive test batteries), and biomarkers data (e.g., genotyping data
March 2021 - September 2021
As a member of Quidel's internal statistics and data science team , my day-to-day work included but not limited to performing statistical analyses in accordance with protocol, drafting research and development reports from statistical perspective, performing data quality control (QC) and data auditing, providing biostatistical support to product development and evaluation(e.g., sofia 2 fluorescent immunoassay analyzer, Sofia Q rapid antigen test device).
August 2020 - February 2021
As a member of the Quantitative Data Sciences Core, I contributed to statistical analysis plan (SAP) designing, data management and analyses (e.g., sample size and power analysis, generating reproducible statistical analysis reports (SARs) using SAS and R/RMarkdown) for early-phase clinical trials, basic science of medicine (in vivo and in vitro) studies, and other health science researches. I also worked on RShiny APPs, R packages and SAS Macros development
September 2018 - May 2020
As a research assistant, I worked in Dr. Sachiko Ozawa's health economics research group on project "The condition and social cost of antibiotics over-prescription and abuse in rural area of China". I contribute to cleaning and analyzing data gathered from an innovative health economic survey on antibiotics abuses among village doctors in Yunnan Province, China by SAS and STATA. The key methodologies include Item Response Theory, Balloon Analogue Risk Task, and Generalized Linear Model.
2018 - 2020
University of North Carolina at Chapel Hill
Key Courseworks: Probability and Statistics Inference (I)(II), Statistical Computing and Data Management, Generalized Linear Models, Working with Data in a Public Health Research Setting, Analysis of Categorical Data, Applied Longitudinal Data Analysis, Principles of Epidemiology, Survival Analysis, Statistical Learning
Master Thesis: Missing Values Imputation with Machine Learning Methods on Drug Metabolomics Studies
2020 - 2021
Northwestern University
Real Analysis: Axiomatic development of the real number system, sequences and series of real numbers, continuity, and differentiability, Riemann integral and sequences and series of functions
Data Science Bootcamp: Data Analyses and Visualization with Python and R, Introduction to Object-Oriented Programming, ETL Pipelines, NLP Pipepines, Machine Learning Pipelines
2014 - 2018
Shanghai University
Key Courseworks: Advanced Calculus, Linear Algebra, Probability and Mathematical Statistics, Micro Economics, Macro Economics, Business Statistics, Econometrics, Accounting, Quantitative Financial Risk Management, Quantitative Investment Analysis, Financial Valuation, Corporate Finance
Overall GPA is the top 5% in Department, graduated with “Outstanding Honor Thesis”