What I Do
From stunning visualization to hard hitting analysis
The thread which underlies my work is simple: ask hard questions, get concrete answers.
Asking hard questions is essential, and I work collaboratively in all manor of contexts to assure that the questions being asked are the question we want answered. I work to build tools to understand the world, be it tools to mine or collect new data, or tools to visualize and essentialize the relationships data can show us. I work in the middle of the rigor of mathematics and statistics and the complicated landscape where our questions arise from.
I want to build organizational capacity for data science in education and beyond. I aim for an open and transparent data science pipeline. I strive for reproducibility and rigor in analysis. Most importantly, I am always focused on clear communication of goals, methodology, insights, and results.
Who I Am
A Texan with a deep love of mathematics and a passion for education
Raised in the intricately woven and immesurably diverse city of Houston, I grew up in the shadow of the space program and the energy infrastructure which drives our world. My family comes from Bogota, Colombia, where I was born, and is full of educators with a deep passion for serving the most vulnerable populations in the Houston city school districts.
From this context comes my ethos: a dual desire to learn and to apply. An unabashed curiosity about the world and an understanding that mathematics and technology are vital tools to bring to light injustice and inequity.
I attend the University of Texas at Austin, where I study Pure Mathematics in addition to working towards a certification in secondary education. At the seat of the Texas State Government and in an intellectually rich enviornment I have had the privilage of observing the intersection activism, government, and academia in my time in college.
How I Do It
An up to date toolbox is essential: from programming to theory, and everything in between
My toolbox ranges from theory to practice. Below are a few of my choice technical tools for unlocking insight into our world:
- R - I use R for everything from quick and dirty exploratory analysis, to refined visualizations using Shiny.
- Statistical Theory- A model or an analyis must be grounded in solid theory. I have taken classes including Theory of Statistics, Applied Statistics, and classes deeper into mathematical theory like Measure Theory, and Riemannian Geometry.
- Tableau, Stata - These programs are both prominent in different areas where data science is employed, and although they are not my go-to tools, Tableau produces unrivaled fluidity in data visualization, and Stata is a standard when interacting with the social sciences.
- Research Design - Data Science follows the old adage garbage in, garbage out, so a key component is design of expirments and research to collect data. Between coursework like Research Methods for Science and practical instruction from research with the measurement & evualation focused Data4Peace group, research design is a vital aspect of my skillset.