Hide & Seek – Friday Faves

This week was a special week, as the SEG Annual Meeting 2019 in San Antonio was in full progress and the FORCE hackathon in Stavanger with an accompanying Symposium is in full progress. Here are my highlights of the week, that I’d like to share with you. Geoscience I talked to some contacts that visited […]

How do we thrive in the AI industrial revolution?

Our world is changing and skilled workers are being replaced by intelligent systems. Where do the strengths of humans lie? Working in ML and taking the stage, whenever anyone lets me, I am no stranger to the question: What is AI good at? What are humans good at? So I was invited to give a […]

Schedule at EAGE Annual 2019

Meet me at the EAGE Annual 2019

It’s the time of the year. The large applied geoscientists conference is coming up, the EAGE Annual Meeting. This year the EAGE is coming to London. I’ll be there as well and I’ll have a couple of speaking engagements, I’d like to invite you along to. Hackathon and Sprint I love the newly created ritual […]

Stats of Kaggle Days

Kaggle Days One – Googling in San Francisco [2/3]

Does anyone else know that feeling? You listen to too many people doing awesome things, you eventually get a small existential crisis. Well. I do. In Day one we explored Google Next ’19 and my highlights. While Google Next was still on, I was up to other shenanigans. My real reason to come to San […]

Keynote Bonanza and No Coffee – The EAGE / PESGB ML Workshop

Last month EAGE and PESGB organized the first machine learning workshop in geoscience in Europe. Clearly, I had every intention of going. And obviously, I met many of my favourite co-conspirators there, when I did. The workshop was divided between a day of keynotes and a day of technical talks. The keynotes accompanied the PETEX […]

Culture Neutral - CC-BY Karl-Ludwig Poggemann

Data Is Not Neutral

  I like data driven processes. You’ve seen me drum on about CRS and Full-Waveform Inversion. Sometimes we like to pretend that data is pure. Well , it’s noisy and full of kinks but if we process it just right, we extract the truth. Turns out that is a little bit wrong. The data collection […]

Mid Oceanic Ridge

Geophysical Assumptions

If you assume you make an ASS of yoU and ME. That may be true in personal connections, but assumptions are necessary in physics. Particularly, geophysics needs all the assumptions it can get. The subsurface isn’t exactly nice, giving us data. We can only look from one side (mostly). The Earth itself filters our signal, […]

Dipping your Toes – Machine Learning for Geoscientists

My fellow students know this and I hope recruiters will never read this: I was never good at math in university. It was only later when it came to the application in actual geophysical problems that tensors, linear algebra, and differential equations clicked. Personally, I don’t recommend this, as it makes life unnecessarily hard. Machine […]

Challenges in Machine Learning

Geoscience and Machine Learning – EAGE 2017 Workshop

Is it data science? Machine learning? Big Data? Deep learning? Fancy math? Or just chalked up statistics with enough data? This Monday marked the start of the EAGE 2017 in Paris for me. If you have read this blog or the EAGE Student Newsletter before, you may have seen that I am some sort of […]