Information Technology & Communications Assistant

• Sep 2023 - Present

Quantitative Clinical Pharmacology Intern

• May 2023 - Aug 2023

- Conducted Model-Based Meta-Analysis using arm-level clinical data from ~200 head and neck cancer clinical trials to facilitate oncology drug development and go-no-go investment decision making - Established robust correlations between early endpoints (ORR) and late endpoints (PFS and OS) by leveraging regression models and data transformation techniques in R, improving R-squared from ~0.3 to ~0.8 - Optimized prediction models of phase III outcomes by performing covariate analysis based on phase II endpoints and 20+ patient characteristics, identifying 5 significant covariates such as age, treatment class, ECOG, etc. - Informed Takeda of significant risk of phase III failure by deriving probability models for achieving Target Product Profiles (TPP) and adjusting TPP for desired Probability of Technical Success, potentially saving ~$30 million Show less

Advisory Board Data Analyst

• Jan 2023 - May 2023

- Conduct financial analysis to demonstrate payment inadequacy and its impact on patient outcomes - Perform quantitative analysis, including cost projections and cost-effectiveness analysis, utilizing CT hospice and CMS data - Identify relevant stakeholders, conduct qualitative interviews, and analyze diverse payment models in palliative and hospice care - Research policy precedents and effective means of policy advocacy communication for palliative and hospice care - Develop written communication materials for outreach and stakeholder engagement Show less

Biostatistics Research Assistant

• Jun 2021 - Aug 2022

- Discovered feasibility of replacing complex biomarkers with common clinical indices to predict progression of Alzheimer’s Disease (AD) brain pathology and risk of AD at pre-symptomatic stages for living adults; - Optimized 5-year AD risk prediction with Cox Proportional Hazards model and elevated prediction accuracy from 71% to 92%; - Managed AD clinical data with R & Python from cohort studies with 30,000+ participants & 160+ clinical variables; - Employed machine learning (GBM, SVM, Random Forest) & GLM-Elastic Net regression to cross validate models that estimated brain pathology using common clinical indices as predictors; - Compiled two scientific articles and published on Journal of Alzheimer’s Disease and National Institution of Health. Show less

Clinical Data Analyst Intern

• Jun 2021 - May 2022

- Processed & analyzed prospective longitudinal data collected from 2-year follow-up of 78,000+ patients registered in a patient-centric digital platform for outpatient blood glucose management for Type II Diabetes patients; - Evaluated and validated effectiveness of the digital platform on glucose control and patient compliance to insulin treatment by applying statistical methods such as ANCOVA, Least-Square Means, Logistic Regression; - Improved 3-month outpatient blood glucose control by reducing mean HbA1c from 9.3% to 6.8% and enabling 68.9% of analysis population to reach target healthy level of fasting plasma glucose. Show less

Biotechnology Laboratory Assistant

• May 2020 - Aug 2020

- Browsed and read 60+ research articles on cutting-edge innovations of CAR-T therapy & CRISPR-Cas technology for leukemia treatment; presented and led discussion on 10+ articles during weekly meetings; - Researched on RNA-guided DNA insertion methods and potential protein biomarkers like CD123, CD5, Mesothelin; - Quantified immune cell sorting experiments using gel electrophoresis & flow cytometry for leukemia biomarkers. - Browsed and read 60+ research articles on cutting-edge innovations of CAR-T therapy & CRISPR-Cas technology for leukemia treatment; presented and led discussion on 10+ articles during weekly meetings; - Researched on RNA-guided DNA insertion methods and potential protein biomarkers like CD123, CD5, Mesothelin; - Quantified immune cell sorting experiments using gel electrophoresis & flow cytometry for leukemia biomarkers.