Designed an objective Accelerated Failure Time model to predict survival time in patients with recently diagnosed HCC to calculate a survival benefit score for these potential transplant candidates
Extracted and analyzed clinical and longitudinal BMI data from over 1 million patients in the VHA SQL Server with group-based trajectory modeling to examine the association of BMI trends on colorectal cancer survival
Employed VHA developmental server to increase processing speed of analysis and rewrote package coding to eliminate redundancy, which reduced analysis time by 75%
Simulated transplant outcomes under different liver allocation policies using LSAM's Markov modeling with SRTR data from 2011 to 2016
Developed statistical analysis plans for clinical trials and calculated necessary sample sizes
Authored and created figures and tables for various gastroenterology and hepatology publications
Presented key findings from LSAM in the American Transplant Congress
Advised and educated clinicians using different statistical analysis techniques (e.g., R, Stata, and Excel)
Aided colleagues with technical software (e.g., Velos, REDCap, and Excel) and device issues
Biostatistician
University of Miami, Cardiology
Miami, FL
01.2021 - 09.2023
Conducted survival analysis inSAS and R with multisite data from 6,700 patients to examine the effects of beta-blocker dose after myocardial infarction in populations with other comorbidities
Analyzed electrogram characteristics of 27,000 observations to identify overlaps between different heart mapping techniques and characteristics that can help predict ablation success
Drafted statistical analysis plan and sample size calculations for NIH and pharmaceutical company grants that were FDA regulated
Communicated preliminary results and study progress to investigators in easy-to-comprehend terminology
Designed electronic data collections forms on Velos and REDCap for research and clinical intake
Managed data collection process, including proper physical storage, electronic warehousing, quality checks, and data manipulation
Identified over 4,600 potential patients within EPIC and created VBA code that automated the matching process for the control group which made the coordinator’s search more efficient
Research Intern
University of Chicago Medicine
Chicago, IL
07.2020 - 04.2021
Analyzed 12 years of pediatric ICU data with discrete-time survival analysis in R to find a correlation between critical event and outcomes in other patients to bring awareness to a possible issue
Interviewed stakeholders using REDCap for insight on critical event protocol and foreseen issues with the current system or physiological status measurements
Host weekly meetings to update Scientific Advisory Committee on the project via Zoom and Slack
Research Intern
New York University
New York, NY
02.2019 - 09.2019
Conducted computational experiment, using R and Linux, to measure homology in Drosophila melanogaster and Aedes aegypti to repurpose the Drosophila CRISPR library onto Ae aegypti
Represented the Stapleford Lab at Sackler Institute of Graduate Biomedical Sciences’ open house to showcase my experiment to recruit potential students
Reaffirmed computational collaboration findings concerning Zika evolution by different methods of infection (by injection and mosquito) and found non-structural genes affected
Lecturer - Mathematics, Probability & Applied Statistics at University of Miami & Miami Dade CollegeLecturer - Mathematics, Probability & Applied Statistics at University of Miami & Miami Dade College