- Proposed a Bayesian sequential decision-making framework that achieves over 50% sample size reduction
- Refined the linear mixed model for improving shelf life estimation with clustering batches as a byproduct
U
University of California
Online course developer/instructor
Santa Cruz, CA, US
March 2021 - August 2021
F
Fudan University
Researcher and data analyst
Shanghai, CN
May 2018 - August 2019
Skills
AlgorithmsApache HadoopBiologyCalibrationCategorical DataCausal InferenceCluster AnalysisCreativityData AnalysisDecision AnalysisDecision Making SkillsElectronicsEmulatorsEvent ManagementExecution of ExperimentsKnowledge of EngineeringKnowledge of MathematicsKnowledge of StatisticsLongitudinal StudyMachine LearningMathematical FinanceMathematical ModelingMedical StatisticsMental HealthPre-Clinical DevelopmentProbability and StatisticsPython (Programming Language)QuantificationReinforcement LearningResearch SkillsSample Size DeterminationSQL DatabasesTeachingTelephone Call Reception Management