Prof. Michael J. Pyrcz, @GeostatsGuy, Resources

Howdy Folks, I'm Michael Pyrcz, a Professor at The University of Texas at Austin. I teach and conduct research on:

data analytics
geostatistics
machine learning

I'm appointed in the:

Hildebrand Department of Petroleum and Geosystem Engineering, Cockrell School of Engineering, The University of Texas at Austin
Department of Planetary and Earth Sciences, Jackson School of Geosciences, The University of Texas at Austin
Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin

I'm also a:

principal investigator in the College of Natural Sciences Energy Analytics Freshmen Research Initiative and Inventors' Program, The University of Texas at Austin
core faculty in the Machine Learning Laboratory in Computer Sciences, all at The University of Texas at Austin
principal investigator (co-PI with Professor John T. Foster) of the DIRECT industrial consortium, , The University of Texas at Austin

I feel that the role of professor is a role of service, so I post all my lectures and supporting content online resulting in evergreen content that outlasts the semester and reaches beyond campus. I hope this content supports:

my students for ongoing learning content long after they finish my courses
working professionals facing the digital transformation and interested to learn new skills
potential students by breaking down barriers and making our university a welcoming place for all interested to learn

Here's an inventory of my online resources that I have made to help people learn about spatial data analytics, geostatistics and machine learning. I have produced these resources to support my students and I thought they would be useful to my students after completion of the class (an evergreen resource), to other students and working professionals interested in this topic.

<div align="center"><em>I hear from students, working professionals and potential students everyday that benefit from these products!</em></div>

<div align="center">Michael Pyrcz, Professor, The University of Texas at Austin</dev>

Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions

With over 17 years of experience in spatial, subsurface data analytics consulting, research and development, and leadership, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and (geo)scientists' impact in spatial, subsurface resource development.

For more about Michael, my research group (15 PhDs), my consortium (DiReCT), my publications, my background, my education startup etc. check out these links:

About Michael

Want to learn more about my story, my publications and other contributions to open source, check this out:

My story of how I got started in engineering and ended up as a professor at The University of Texas at Austin My Story
My research, approach to research and views on building an inclusive and diverse team My Research
Nothing is possible without awesome graduate students My Students
I've written a bit, here's the books My Books
Here's the 2 NEW, free online ebooks that I wrote during my sabatical. I continue to add and improve content so please continue to check back.

My peer-reviewed publications My Papers
My other contributions My Other Contributions
I wrote an open source Python package for spatial data analytics and geostatistics. Much of it is a translation of GSLIB (Deutsch and Journel, 1998) from the original Fortran to Python for 2D geostatistical methods. I did this to support my students in my Spatial Data Analytics and Geostatistics courses. Check it out and consider contributing and become a coauthor at GeostatsPy on PyPI Repository and GitHub.

NOTE, since GeostatsPy relies on the Numba package for code acceleration, and Numba is not updated to Python >= 3.9, please use Python < 3.9 with GeostatsPy.

I do quite a bit on social media, here's why I do it, My Social Media Efforts.
Check out my TEDx talk on 'A Professor's Secret Weapon' TED Talk
Check out my Twitter feed for resources, ideas and possitivity most days, where I'm the GeostatsGuy Twitter.
I post a lot of code, demonstration workflows and course material to support anyone that wants to learn My GitHub
I partnered with Prof. John Foster (UT Austin) and Bazean, a technology-enabled energy investment firm, to start the energy-focussed data science education company, daytum. We are currently offering short courses in Energy Data Science.

<div align="center">Michael Pyrcz, Professor, University of Texas at Austin</dev>

Online Resources on Spatial Data Analytics, Geostatistics and Machine Learning

Recorded Lectures

I record all my university lectures and post them on YouTube. You are welcome to join my classes!

GeostatsPy Python Package Workflows

I wrote a Python Package called GeostatsPy for spatial data analytics and geostatistics. Here's a set of demonstration workflows in Python Jupyter Notebook for many of the fundamental workflow steps from data preparation, statistical inference to spatial prediction with uncertainty. They go along with my recorded lectures from my courses on my YouTube channels:

Here's the workflows:

GeostatsPy: Reimplementation of GSLIB in Python
[Data Distributions with GeostatsPy](https://github.com/GeostatsGuy/PythonNumer

Resources

Install / Use

README