Jun Lu Email & Phone Number

Chicago, IL, US

• Provide statistical support for lung health researchers, including manuscript development and data analysis
• Develop R and Python code to automate the generation of enrollment and appointment reports for the RECOVER study (Long COVID) based on REDCap data
• Serve as a member of The Network of Biostatisticians for RECOVER, contributing statistical expertise to support the Long COVID study

• Developed an R Shiny application to evaluate the consistency of results across different interim analyses.
• Designed an innovative group sequential methodology to enhance the consistency between interim and final study conclusions.
• Contributed to manuscript writing for publication, effectively communicating complex statistical concepts to a broad audience

Washington, DC.

• Incorporated historical control into Bayesian go and no-go decision-making framework using the robust meta-analytic-predictive priors
• Augmented the control group sample size with external control by the propensity score matching and weighting, entropy balancing and covariate balancing
• Developed a response adaptive randomization decision-making framework utilizing the block randomization ratio for early stopping
• Developed R Shiny applications for proposed decision-making frameworks

Chicago, Illinois, United States

• Provided statistical support to cancer researchers by applying advanced statistical methods to enhance data analysis and support decision-making in cancer research
• Developed a novel 2-stage phase II screening design to select potentially effective agents by tumor response within a short time interval followed by a second screening stage where survival is estimated to confirm the.
• Built a framework to estimate differences in survival rates and restricted survival time at multiple time points with simultaneous confidence band

Tarrytown, New York, U.S.

• Wrote SAS macros to find the best cutoff point for a continuous variable based on a continuous,categorical or time-to-event outcome using the decision tree method
• Wrote SAS macros to generate innovative figures with new features, including waterfall plot, spaghetti plot, pictogram and proportional Venn diagram
• Applied machine learning including logistic regression, SVM, random forest, and XGboost, to predict progression of the diabetic macular edema

Tarrytown, New York, U.S.

• Performed a systematic review and meta-analysis of clinical trials to estimate the incidences ofcutaneous adverse events in patients treated with PD-1 inhibitors, PD-L1 inhibitors and CTLA-4inhibitors.
• Built a meta-regression model to investigate factors associated with the incidence of cutaneous toxicities, including cancer types, targets of inhibitors, and therapy types.
• Utilized estimated incidences from clinical trials and the number of patients treated with immunecheckpoint inhibitors to estimate the number of patients suffering cutaneous toxicities in the realworld

Hangzhou, Zhejiang, China

• Analyzed unmatched keywords in users’ search history to discover the potential demand for pharma data
• Created summary tables and figures for reports to pharmaceutical companies as a reference for their new drug development plans
• Organized and standardized drug data into 7 fields including trade name, generic name, ingredient, dosage etc. for data analysts to perform further analysis

• Utilized the GLM procedure of SAS to deal with experiment data; analyzed the result via repeated-measure model about the impacts of heat stress and zinc levels on lipid oxidation rate, as well as their interactions
• Contributed in conducting experiments and collecting data, using TBARS for oxidation rate testing and GC for fatty acid profiles analysis

Hanzhou, China

• Applied Rapid amplification of cDNA ends (RACE) and Polymerase Chain Reaction (PCR) technique to target the full length of RNA transcript and amplify copies of DNA
• Utilized four software, namely, DNAStar, ClustalX, MEGA5.0 and GeneDoc as to implement phylogenetic trees inferring, multiple sequence alignment, sequence analysis, etc

Doctor Of Philosophy - Phd, Biostatistics, 4.0/4.0

Master Of Science - Ms, Biostatistics, 4.0/4.0

Bachelor'S Degree, Animal Sciences, 3.7/4.0

Foreign Student Exchange Program Of Scientific Research

Foreign Student Exchange Program Of Language And Culture