Web Development & Data Visualization Contractor (Part-Time)
International Society for Computational Biology (ISCB)Developing statistical visualizations, tables, and JavaScript reporting interfaces integrated with a Slim 4 (PHP) web application.
Developing statistical visualizations, tables, and JavaScript reporting interfaces integrated with a Slim 4 (PHP) web application.
Developing graph convolutional neural networks and generative models for irregular longitudinal data, with GPU-accelerated Python implementations and model comparisons.
Mentored an M.S. capstone student in statistical analysis, programming, consulting, and technical communication.
Developed estimating-equation methods for clustered outcomes, single-cell clustering validation, antimicrobial resistance prediction workflows, and computational analyses of oral-health data.
Developed instructional examples and supplemental notes for graduate biostatistics coursework.
Taught College Algebra, College Algebra with Recitation, and Introductory Statistics in in-person and online formats.
R, Python, JavaScript, Lua, HTML, PHP (Slim 4), SQL, C++, SAS, Bash, and Powershell.
Machine learning, generative modeling, web development, cloud computing, scripting, illustrative visualization, and GPU-accelerated computing.
VSCode, RStudio, PyCharm, Git, Bowtie2, KMA, ResFinder, NCBI EDirect, FastQC, KneadData, and OBS.
Probability modeling, clustering, Bayesian inference, Markov chains, longitudinal data analysis, experimental design, hypothesis testing, and regression analysis.