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Data is as prevalent as it is daunting. It can help us achieve amazing new discoveries but misinterpreting it can lead to fallacious reasoning. Data has always played a central feature in reasoning, but this role has increased exponential in recent years. Justifications for claims and decisions are often come down to data.Â
For this reason, it's vital to gain an understanding of the methods that are used to leverage data. This page provides intuitive applications that can be used right in your browser to explore otherwise confusing topics. Along with each application is a write-up explaining the methods and common applications.
As data becomes more prevalent in everyone's lives, it's vital to know the basic concepts. However many people have real trouble anytime math-talk pops up. I build apps to demonstrate some of the most important concepts in probability and data analysis.
I apply mathematical tools to investigate how groups should form opinions and make decisions. In particular, I am interested in unforeseen/counterintuitive dynamics inherent in science which impose trade-offs between community desiderata. I use this to shed light on when things like epistemic diversity are signs of a flourishing community and when they are signs of a struggling one.
Powerful data science comes not from some magical black box, but from simple building blocks applied in the right ways. I demonstrate the multitude of ways in which real world applications are unlocked through well built business intelligence dashboards and machine learning models.
This is a repository of some current works in progress. Some of them are more developed than others, and not all of the applications work.
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