Claire I-Hsuan Su Email and Phone Number

Global Health Economics & Outcomes Research (GHEOR), Oncology• Coordinates stakeholder communications, meetings, and publication review for two real-world evidence studies supporting HTA submission of new oncology product• Leads feasibility assessments on real-world data sources and presents recommendations to senior leadership and key stakeholders• Provides feedback on study protocols, report, presentation slides, and congress abstracts• Conducts literature review to support payor conversations and pathway submissions• Contributes to protocol development for patient-reported outcome study

Develop a life expectancy prediction model using geriatric assessment data in older patients with advanced cancer• Developed and refined bespoke SAS code to implement penalized Weibull regression models to predict life expectancy in older adults with advanced cancer• Carried-out penalized regression analyses and generated performance metrics using geriatric assessment data from randomized trials• Drafted conference abstracts and manuscript for journal submission

• Documented best practices in how to design, conduct, disseminate various types of real-world evidence studies (drug utilization studies in databases, subgroup analysis)• Created protocol and analyzed results of reliability study for drug approval• Conducted literature reviews on existing validated patient reported outcomes measures, rare disease endpoints, and novel treatments for substance use disorder

• Created simulations with confounding through participant channeling and variable misclassification of randomized clinical trial data• Conducted sensitivity analyses to adjust for and assess uncontrolled confounding using covariate balancing, empirical equipoise, asymmetric trimming, and e-value assessment• Developed an interactive, web-based tool with R shiny package to allow for independent exploration of the simulation study results

-Evaluates R, Bash, and Python programs on data manipulation, modeling, and visualization-Provides feedback on code accuracy, structure, and results presentation

- Performs regular data cleaning, management, and update of school database using SQL- Analyzes application, student demographics, faculty research, employee data to generate insight for school strategies and performance metrics- Presents strategies in student recruitment using data visualizations with Tableau dashboards

- Integrated complex clinical-genomic database (CGDB) with over 50,000 linked patient profiles to create variables and statistics of interest with data manipulation in R and SQL- Improved utility and flexibility of R package by developing functions to extract additional genomic and clinical information for running time-to-event analysis with CGDB datasets- Led journal club discussions on peer-reviewed paper using causal inference methodology - Communicated project summary in varying levels of details to interdisciplinary audiences

-Collaborated with cross-functional team and FDA researchers on safety surveillance and program evaluation studies using 10 million+ Medicare claim records-Developed R code pipeline to automate data manipulation, modeling, and result reporting for evaluation on post-vaccination disease risk-Researched and implemented imputation methodology in R to resolve missing data problem-Designed measurements to analyze physician prescription behavior across time using SAS-Improved clarity of client reports by making iterative changes to report-generating R program-Built novel and customized data visualization tool for clients using Javascript and HTML-Communicated functionality of visualization tool and presented surveillance results to clients-Fostered community among colleagues by organizing bonding events for team members

-Improved client website by analyzing data on user activity time trend and content popularity-Connected academic predictors to post-graduation outcome by building regression model in R-Impacted decisions on off-campus studies program content and recruiting target by highlighting trends in applicant characteristics with data analysis in R-Presented findings and recommendations to clients through written reports and presentations

˙Provided support, advice and referrals to first year international and intercultural students ˙Served as a personal mentor to 5 first year students and met with them on a weekly basis˙Assisted in hosting and facilitating events of the Office of International and Intercultural Life˙Served as leader of International Student Orientation and New Student Week˙Facilitated campus-wide discussions on cultural topics and organized internship panel for first year students

˙Assisted in the genetic analysis of PC-9 and PC-9-GEF lung cancer cell lines˙Performed procedures of RNA and DNA isolation and explored new experimental questions using the software IPA

˙Conducted research on the effects of two different drugs on the viability of H157 cancer cells˙Honed skills in human cell culture, Western Blot, gel electrophoresis, electron microscopy, and MTT assay