Subsurface geological modeling
I use data-driven methods to identify novel structures within geological surfaces.
I work now at the AGH University in Kraków. I have obtained the doctoral degree at the University of Silesia in Katowice, a school known for the prominent leader of the Polish Judges’ Association „Iustitia” nominated to the Nobel Peace Prize.
I use data-driven methods to identify novel structures within geological surfaces.
Do you know that well-known organisations such as Robert Koch Institute use biased metrics to estimate COVID-19 burden?
Three competitive ecclesial factions can have a common enemy which generates turbulent interactions
I can offer trainings about 1) using my software for building and interpreting data-driven subsurface geological models, 2) creating COVID-19 shinyApp (with theory)
Combining a C++ code, ParaView visualizations, and R template to reveal compartmentalization pattern based on geometric anomalies. What is needed: points (XYZ) documenting a geologic, bathimetric or topographic surface.
You will probably need some background knowledge to learn about limitations and interpretation rules.
If you have unbiased metrics, building a Shiny app for monitoring infectious diseases is a good step forward.
Learn quickly about different metrics for assessing COVID-19 burden and our recent development.
Below you can find some papers (or accepted preprints) from peer-reviewed journals:
List of selected meetings
Receiving a grant is always a long shot, thus I'm not in favour (in fact strongly against) of assessing individual researchers by the number of grants they have received. In fact, I tried six times before I received the (2020/37/N/ST10/02504) grant..
List of awards and certificates
Teaching materials available via UPEL platform.
I have completed scientific collaboration (published papers) with the following institutions:
However, I have also been blocked by:
SLAPP campaign in progress (related to my interview in Superwizjer TVN "Co się stało z królem kryptowalut?")
Simply e-mail me: michalm@agh.edu.pl