- Built the front- & back-end of a custom-coded Data Dictionary flask application, to encourage users to effectively utilize data available to them- Develop complex SQL queries to manipulate, retrieve and analyze real-time demographic and clinical data for grants, clinical trials and other research- Apply statistical and R programming knowledge to calculate sociodemographic and cancer risk factor estimates at the national, state and regional levels from BRFSS and ACS survey data- Produce cancer incidence and mortality statistics at the national, state and regional levels from SEER data, using SEER*Stat software

- Developed R program to semi-automate monthly transplant and cellular therapy quality report- Performed, provided and presented monthly quality analysis reports to transplant physicians- Collected and reported data for transplant and cellular therapies to CIBMTR

• Graded and thoroughly reviewed 50 Master’s-level homework assignments, weekly• Managed weekly discussion boards to address students’ content-related questions

• Constructed MCMC algorithm for surveillance, transmission and clinical parameter inference for first COVID-19 epidemic wave in multiple states• Developed a joint model for total and age-structured negative binomial counts using a data augmentation approach• Implemented joint model using Rhode Island COVID-19 surveillance data• Collaborated with statisticians, epidemiologists, biomedical engineers

• Independently instructed two course sections, each with 25 undergraduate students• Developed homework assignments, quizzes and exams, and corresponding solutions

• Independently led four 1-hour labs per week with 60-80 undergraduate students each• Independently held weekly office hours for course with size of ~1,300 students

• Graded and wrote detailed solutions for homework assignments, weekly• Utilized GitHub to make homework solutions available to students after completing assignments• Addressed students' course-related questions and concerns as necessary

• Assisted students with homework, review and class material at walk-in appointments• Mentored new math center tutors

• Completed a research project at Penn State through the Mathematical Biosciences Institute REU program at Ohio State• Used a simulation-based approach to show that ignoring terrain heterogeneity leads to overestimating the spatial spread of infectious disease• Project title: Distinguishing Resource Selection from Heavy-Tailed Dispersal in Spatial Epidemic Models