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Lee Ding is listed as Biostatistics Ph.D. Student at Harvard University based in Newton Centre, Massachusetts, United States. AeroLeads shows a work email signal at brown.edu and a matched LinkedIn profile for Lee Ding.
Lee Ding previously worked as Lab Member - Crawford Lab at Brown University and Research Assistant - Division of Applied Mathematics at Brown University. Lee Ding holds Doctor Of Philosophy - Phd, Biostatistics from Harvard University.
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Lee Ding is a Biostatistics Ph.D. Student at Harvard University.
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Develop multivariate Biologically Annotated Neural Networks (mvBANNs) framework for association mapping for multiple correlated traits in genome-wide association studies (GWAS)Generate ROC curves and Manhattan plots to assess mvBANNs performanceDesign study involving simulated and real GWAS data from UK Biobank to compare mvBANNs with other GWAS association mapping approachesPresent mvBANNs framework and results during weekly lab meetings
Providence, Rhode Island, United States
Implement profile likelihood and MCMC approaches in MATLAB for estimating parameter identifiability in two-state partial differential equation model of fluorescence recovery after photobleaching (FRAP) cell protein dynamicsExtend parameter estimation approaches to three-state partial differential equation modelRun simulation study using synthetic FRAP data to evaluate and compare parameter estimation approaches
Providence, Rhode Island, United States
Hold office hours and grade problem sets for honors mathematical statistics course with 70+ enrolled
Held office hours and grade problem sets for upper-level probability and statistics course with 100+ enrolledDeveloped course material for exam review sessions
Held office hours and graded problem sets for mathematical statistics course with 150+ students enrolled
Held office hours and graded problem sets for introductory statistics course with 50+ students enrolled
Providence, Rhode Island, United States
Implemented feed-forward neural network model in Python for classifying temporal single-cell RNA-seq expressions by time pointBuilt recurrent neural network model for generating synthetic single-cell expressions at the last time point for a given set of temporal single-cell RNA-seq dataLed journal reviews on machine learning applications in bioinformatics in weekly lab meetings
Held office hours and graded problem sets for mathematical statistics course with 200+ students enrolled
Rockville, Maryland, United States
Developed integrated “horse-race” statistical approach for capturing gradients in time-series cancer surveillance data using JoinPoint regression and a set of novel kernel filtration methodsAssessed JoinPoint regression and kernel filtration methods via simulation study in R adapted from statistical smoothing literatureDemonstrated utility of JoinPoint regression and kernel filtration methods in cancer surveillance by applying methods to age-standardized rates of breast cancer incidence in SEER 13 dataStudied JoinPoint regression’s inability and kernel filtration methods’ ability to fit large n time series by applying them to COVID-19 daily incidence rate data in MD, FL, and RI
Boston, Massachusetts, United States
Analyzed the influence of smoking, hypertension, and cholesterol on the outcome of death for participants in the Framingham Heart StudyPlotted Kaplan-Meier survival curves by exposure and used log-rank tests to determine if there were significant differences between survival curves for exposure and non-exposure groupsCreated Cox proportional hazards regression models for the exposures to determine if there existed evidence of effect modification through stratification
Providence, Rhode Island
Compiled databases for School of Engineering course information and student employmentCreated and distributed weekly undergraduate and graduate School of Engineering bulletins
Brooklyn, New York
Created internal pricing tools to streamline project estimate calculations for home renovation startupCollected and analyzed project data using R, Python, and Excel to study cost overruns and delays and devise recommendations for optimizing future project performance
New York, New York
Assisted PhD students with compiling research on workplace dynamics and organizational leadershipHandled day-to-day administrative tasks, including processing faculty reimbursements and copy requests
Activities and Societies: Brown Lecture Board (VP of Finance and Technology), Orientation Welcoming Committee (Orientation Leader).
Activities and Societies: Stern Inter-Club Council (Director of Internal Affairs), NYU Asian Heritage Month (Events Committee), Business.
Activities and Societies: Speech and Debate Team (Captain), Boy Scouts of America (Senior Patrol Leader), Future Business Leaders.
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Lee Ding is listed as Biostatistics Ph.D. Student at Harvard University.
AeroLeads has found 1 work email signal at @brown.edu for Lee Ding.
Lee Ding is based in Newton Centre, Massachusetts, United States.
Lee Ding has worked for Brown University, National Cancer Institute (Nci), Boston University School Of Public Health, Block Renovation, and Nyu Stern School Of Business.
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Lee Ding holds Doctor Of Philosophy - Phd, Biostatistics from Harvard University.
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