Career Profile
A biostatistician with broad experience in quantitative biomedical research and industry.
Experiences
• Focusing on spatial transcriptomics, single-cell RNA-seq, proteomics, and Bayesian methods.
• Initiated and managed the overall project scope and timeline for two sub-teams:
- Linked SDTM to ADaM by adopting admiral R package to a Bayer study
- Linked ADaM to TLFs by a R & Shiny cross-validation pipeline
• Designed templates that streamlined the automation of AE reporting in CSR
• Drafted internal developer’s bookdown guide
• Assist other R initiatives in the department and in several industry-wide working groups
• Merged pull requests to harmonize data source for the R package COVID19 Data Hub
Selected cases as a health economics outcome research consultant:
• Used random survival forest to predict the remission of rare disease
• Proposed and implemented R workflows to automate data quality check and outreaching
• Used IPTW to construct external control cohorts for Phase I/II trials
• Reviewed protocols and conducted SAP/BAP for late phase oncology biomarker studies
• Implemented exploratory RNA-seq functions and R shiny dashboard for HA submission
• Drafted proposal for integrating deep-learning-based imaging endpoints into clinical trial
• Developed a network analysis animation for real world drug use pattern recognition
• Lead tutorial sessions for Multivariate Data, Data Analysis II, and Elementary Statistics
• Proposed and conducted administrative pharmacoepidemiological data cleaning pipeline
• Master thesis: developed continuous-time marked point processes algorithms
• Performed multiple imputation and regularized regression for psychometric and radiomics data
• Research on transfer learning in decoding EEG signals with convolutional neural networks
• Gave talks and presented at the internal poster symposium
• Automated cancer diagnosis by linking machine learning algorithms with software engines
• Customized deep learning algorithms to classify breast/prostate H&E and Feulgen scan images
• Established the ground truth simulation for a Bayesian framework on fMRI BOLD signals
• Presented at the internal poster symposium
• Lead tutorial sessions for Elementary Statistics
• Managing Alzheimer’s, Multiple Sclerosis patient files
• Provided data entry and summary statistics