Elijah Bernstein-Cooper

Welcome to the website of Elijah Z. Bernstein-Cooper.

You will quickly find that I pursue a diverse set of interests. The common theme amongst all of my endeavors however, is the attention to quality.

Curiosity drives my pursuit to develop questions, models, or code. Explore this site and you'll see diversity in my explorations of data science. Visit my blogs on different data science projects, or explore the extensive Python code I've developed to accomplish various projects.

I outline my steps to predict user interest in traveling for Air B&B. I adopt a neural network regression routine in Python to predict which country a user will travel to next.

Map of dust of three molecular clouds in our own galaxy. Adopted Bayesian priors to identify the dense cores shown as white crosses.


Show the status and branch of your git repo by the color of bash prompt.

Various Python modules for plotting, data analysis, and data reduction.

Below are the most recent posts from each of my blogs


I compare model consistencies predicting radiation fields.

This sourdough recipe will yield artisan loafs without any kneading. I have combined a no-knead bread technique from the Artisan Bread in Five Minutes a Day by Jeff HertzBerg and Zoe Francois with the ingredients and techniques from a Wild Yeast Blog post on Norwich Sourdough. The Norwich Sourdough inclusion of rye flour gives the loaves an extra bite complimentary to the tangy sourdough, all without ever needing to touch the dough. The hands-on time spent actually paying attention to these loaves is minimal making this recipe a low commitment, but yields delicious results.

I present results showing the dust emissivity index of the Taurus-California-Perseus Region
In this post I show results from calculating HI transition surface densities.
I outline the methods needed to compile references using Bibtex in a Latex document.
I outline the steps to derive the incident radiation field on dust grains given the dust grain temperature.
Show the status and branch of your git repo by the color of bash prompt.
I outline my steps to predict user interest in traveling for Air B&B. I adopt a neural network regression routine in Python to predict which country a user will travel to next.

Find the recipe here, and the brew log here.

I adopted this recipe from here which has led to at least a dozen successful batches. The plain kombucha will take about 2 weeks to complete at room temperature.

Comparison of cumulative distribution functions of observed and predicted quantities.

A little birdie recently told me that a Tripel actually refers to triple the malt of the Trappist “Simple”. Triple the malt we shall have.