United States
- Designed and maintained an enterprise data warehouse (EDW) using MySQL to support the frontend application portal used by the Office of Research Administration and UF Health leadership - Created and implemented ETL process to conduct monthly and quarterly data refresh -Developed a data extraction tool using Python to retrieve NIH project data from the NIH API - Troubleshot and unit tested code to boost database performance and protect application lifecycle - Analyze and visualize data using Power BI, Python and R to facilitate the translation of business needs into insightful reports, which supports the decision-making for research administrators and UF Health leadership
- Worked with Lakdawala Lab on the transmission of influenza virus among ferrets as a capstone project - Developed a data pipeline that processes time series data for animal behavior experiments, conducted feature engineering, and created an infection score function to perform correlation analysis for studying the relationship between transmission of influenza virus and ferrets’ behaviors using R (dplyr, tidyr, ggplot2) - Created a technical specification and conducted knowledge transfer on the data pipeline for the clients
36-202: Methods for Statistics & Data Science - Grade homework and projects for an introductory statistics course - Co-lead recitation/lab sessions
- Evaluated two deterministic ordinary differential equation (ODE) models and a stochastic agent-based model for tumor-immune interactions. - Simulate the dynamics and interactions of tumor and immune cells in a 3-D environment with a stochastic agent-based model. - Conducted Bayesian inference for model calibration using Delayed Rejection Adaptive Metropolis algorithm. - Applied AIC to examine model fitting and analyze identifiability issues using Markov chains - Determined the level of complexity needed for a simple deterministic ODE model to produce the full range of outcomes produced by a stochastic agent-based model.
Math 186: Applied Statistics - Assisted students on Statistics lab assignments using R
- Conducted research on the effect of implementation of mRNA vaccine on the spread of COVID-19 in two socio-economically contrasting cities, Bogota, Colombia and New York City, USA. - Created a deterministic SEIR model to study the effectiveness of COVID-19 mRNA vaccines. - Evaluated model performance using numerical simulations, parameter estimation and hypothesis tests using R. - Determine the influence of different socio-economic status on the efficacy of COVID-19 vaccines - Presented key research findings at the annual Biomathematics and Ecology Education and Research Symposium.
- Adapted compartment ODE models for tumor dynamics and linear-quadratic model for radiotherapy. - Conducted model calibration using adaptive Metropolis algorithms. - Determined the influential model parameters that may yield different responses to radiotherapy using hypothesis tests. - Visualized high-dimensional model outputs using 3-D scatterplots and heatmaps. - Developed a framework for predicting the probability of tumor eradication using pre-treatment parameters in MATLAB. - Published the academic journal on key findings on the prediction of tumor response to radiotherapy on Spora: A Journal of Biomathematics.