Candace (Pei-Shien) Wu Email and Phone Number
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• Experienced Senior Data Analyst developing statistical learning algorithm providing quantitative analysis on complex data.• Excelled in Statistical Modeling on dimension reduction and classification of image data with four publications.• Solid background in Statistics focused on sparse high-dimensional variable selection using Bayesian approach.
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Bayesian StatisticianProcter & Gamble Jul 2022 - PresentMason, Ohio, United States -
Data Science ConsultantNc State University Libraries Aug 2020 - May 2022Raleigh, North Carolina, United States- Engaged with researchers on projects applying statistical models to several types of data through video and email consultations. -
Analyst InternRed Hat May 2018 - Jan 2019Raleigh-Durham, North Carolina Area- Design statistical/machine learning models using Python and R on Red Hat internal and external data source to forecast product revenue per region.- Automated revenue forecasting model report/plots per quarter by connecting R/Python to Redshift/Oracle database with SQL query.- Built RShiny app to translate analysis results into highly-visual and comprehensible formats. -
Graduate Research AssistantNorth Carolina State University Feb 2017 - May 2018Raleigh,Nc• Project title: Spatial-Temporal Analysis on High-Dimensional Twitter API text messages data.- Extract characters in twitter messages having geographical variation within the US users to predict the geo-location of tweets.- Applied Gaussian kernel to estimate the intensity of each characters and Hellinger and Kullback–Leibler distance for characters dimension reduction furthermore predict tweets location using Naïve Bayes Classifier.- Built R Shiny app for tweets geo-location prediction and produced graphical output to visualize analyses.- Programmed Python scripts for text messages data and R scripts for statistical modeling on Spatial-Temporal data. -
Sr. Data AnalystNyu Langone Medical Center Sep 2014 - Aug 2016Greater New York City Area- Applied machine learning approaches to extract large sample and high-dimensional fMRI image signals enhancing 80% sensitivity in discovering disorder-related deviations from normative brain development in child and adolescent psychiatry.- Identified causal relationship between neuroimaging, psychopathology variables, and genome data exploring the development of mental health disorder to facilitate physician in preventing and detecting mental disorder patients.- Programmed R scripts for mix-effect model, semi-parametric regression, and functional data analysis.- Proficient in writing R script to produce graphical output and visualize analyses results through combined graphical functions. -
Biostatistician InternFda Jul 2013 - Aug 2013Rockville, Md- Provided a standardize sample size estimation formula for FDA to review clinical results from pharmaceutical companies.- Overcome instability issue in Sample Size Re-estimation and justified theoretical results by conducting numerical study.- Proposed measurement of patient enrollment fraction in clinical study research benefits in updating available information in time and enhancing precision of evaluating drug efficacy further balances budget constraints and statistical efficiency. -
Research AssistantAcademia Sinica Jul 2011 - Aug 2012Taipei, Taiwan- Applied multilinear principal component analysis to improve conventional principal component analysis by analyzing the face recognition dataset and effectively using de-noising techniques to process complex images. Research published in Biometrika.- Predicted main effects of image dataset stably and efficiently by developing grand statistical properties for high dimensional dataset while preserving original data structure.- Spearheaded two statistical projects with chemical biologists to apply self-developed statistical models to classify protein images from different special directions, reducing 85.7% laboratory computing time and enhancing accuracy rate by 17.6%.- Standardized statistical methodology and unsupervised clustering algorithm (in MATLAB) to analyze high dimensional image recorded by the electron microscope. Research published in The Annals of Applied Statistics.
Candace (Pei-Shien) Wu Education Details
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Statistics
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Biostatistics -
Mathematics -
Statistics
Frequently Asked Questions about Candace (Pei-Shien) Wu
What company does Candace (Pei-Shien) Wu work for?
Candace (Pei-Shien) Wu works for Procter & Gamble
What is Candace (Pei-Shien) Wu's role at the current company?
Candace (Pei-Shien) Wu's current role is Solving practical problems in diverse domains of application through data analytic methods.
What is Candace (Pei-Shien) Wu's email address?
Candace (Pei-Shien) Wu's email address is cw****@****hat.com
What schools did Candace (Pei-Shien) Wu attend?
Candace (Pei-Shien) Wu attended North Carolina State University, Duke University, National Taiwan University, National Taipei University.
Who are Candace (Pei-Shien) Wu's colleagues?
Candace (Pei-Shien) Wu's colleagues are Pedro Mota, Mark Nicolas Cuevas, Jia Ying Li, Briana Noronha, Diana-Teodora Vrabie, Daniel Mays, Audrey Lauren.
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