Many of my graduate students have papers in peer review. I share this with them to help them respond to the reviewers. I remember the challenge & pressure of writing my first papers. I sincerely hope that this helps. #AcademicChatter #academicWriting #mentorship #proflife

This morning I had the pleasure of taking three of my new PhD students—Suin Choi, Dursun Dashdamirov, and Alexander Ifenaike—out paddling, followed by breakfast back at my home. Tomorrow they begin their graduate studies at @UTAustin. I’m excited to welcome them to Austin and

Blue sky

When I teach the Gaussian transformation, also known as Gaussian anamorphosis, I fire up my interactive #Python 📊 dashboard using @matplotlib to visualize the mapping through cumulative probabilities and creation of the associated Q-Q plot 📈. I’ve share it on my #GitHub:.🔗

Soon, our students will begin interviewing for Summer 2026 Internships. To help them prepare, during the first week of class I’ll be sharing: . Dr. Pyrcz’s Unsolicited Interview Advice. Drawn from my 13 years of industry experience, this practical guidance is all about

Congratulations to my PhD student (co-advised with Prof. Torres-Verdin), Dr. Misael Morales on the successful defense of his PhD dissertation, “Latent Space Methods for Subsurface Energy Resource Modeling.”. Dr. Morales has published numerous outstanding papers, advancing deep

A student recently asked me about sampling — specifically, how representative small random samples can be 🤔📊. To explore this, I introduced them to Latin Hypercube Sampling and Orthogonal Sampling as alternatives to purely random sampling 🎯🔀. Then, I demonstrated the concepts

While teaching Principal Component Analysis (PCA), I use this interactive Python @matplotlib dashboard to demonstrate both the forward and reverse transformations during dimensionality reduction! . You can add a new data point and move it around, watching it go through each

My recently graduated MSc student Laaiba Akmal dropped by the 40 acres to give me a bound copy of her thesis on,. integration engineering physics and information theory to improve spatial #DataScience models!. Laaiba was a very productive graduate student, innovative and hard

Did you know that I have recorded all my university lectures in my office and share them on my YouTube channel?. ✅ 3 courses,.✅ 2 supplementary lecture series, and.✅ random talks!. on #DataAnalytics, #Geostatistics & #MachineLearning!. I’m stoked to see that my channel has

If you’re hunting for good news here’s something: Talkspace therapy is covered by most insurance plans and the average copay is only $15 (but most covered members pay $0).

At the start of my #MachineLearning course, I introduce students to the power of Bayesian probability! 🎉. We kick things off with a simple question: "Is this a fair coin?" 🪙. That sparks our journey into updating beliefs — starting with a prior, then incorporating the

When I teach #MachineLearning 🤖📚, I break out my interactive #Python dashboards 🧪🐍—powered by @matplotlib 🎨—to show off the epic battle between L2 vs. L1 regularization:.⚔️ Ridge vs. LASSO!.What’s the difference? 🤔.👉 L2 = smooth shrinkage 🧼.👉 L1 = sparse & snappy feature

On the way home from campus last night, I was in the passing lane on a steep hill, overtaking a truck towing a car on a trailer. In the blink of an eye, the car broke free and slid backwards off the trailer—right beside me. In that split second, it was 50/50: if the runaway car.

🚨 New chapter just dropped in my free online e-book:. "Applied Machine Learning in Python" 🎉.This time, we're diving into Generative Adversarial Networks (GANs)!. 🔍 I break down how GANs work, then roll up my sleeves and build one from scratch using only #NumPy (@numpy_team).

Caught #BluesOnTheGreen in Austin last night — saw Chaparelle and Next of Kin! Nothing beats unwinding after a day on campus with great live music and an amazing crowd of up to 50,000! Classic #Austin vibes — massive turnout, cool people, and even cooler tunes! 🎶 I love you,

🔍 Curious about Monte Carlo simulation?.Join me for a hands-on walk-through of my interactive Python 📊 dashboard built with @matplotlib!.💻 Download the code.🧠 Follow along.📈 Get hands-on experience with one of the most powerful and impactful statistical innovations of the

🚨 New Chapter Alert! 🚨.My free, online e-book "Applied Geostatistics in Python" just got a major update:.📘 New Chapter: Heterogeneity Metrics.Heterogeneity matters — now let’s quantify it!. ✅ 45+ chapters packed with theory, practical examples, and Python code.🎥 Linked to my

🚨 Most popular lecture on my YouTube channel?🌍 Spatial Estimation with Kriging!. Kriging is used everywhere to tackle big spatial problems, from environmental science to mining and beyond. In this video, I break it down in a clear, beginner-friendly way. ✅ No fancy software

Always curious and full of energy, Beagles turn every walk into an adventure 🐾🎉.

This morning, three of my PhD students—Nataly, Yining, and Maria—joined Tobi Barrett Pyrcz and me for a 6-mile paddle followed by breakfast at our place. These Longhorns crushed it on the water! So proud and stoked!

🚀 I just revised the "#MachineLearning Concepts" chapter in my free, online e-book, "Applied Machine Learning in Python"!. Why? Because I'm committed to creating actionable, accessible, and completely free educational content for anyone learning ML. Whether you're a student,

Possible variogram interpretation, .Nugget Effect: 0% Relative.Range: 1,600 days.Nested Structures: 2 possible.