Allan Gurwicz

Howdy!

I’m a fifth-year Ph.D. student at Texas A&M, advised by Drs. Eduardo Gildin in PETE and David Huckleberry Gutman in ISEN.

My research centers on interpretable machine learning and surrogate modeling for safe and efficient subsurface energy decision-making. I focus on uncertainty quantification and risk assessment, with demonstrated applications from reservoir engineering to geological CO₂ storage.

My latest work was recently published in SPE Journal. My research has been features in venues such as ATCE, OTC Brasil and ICAISC, with upcoming contributions accepted to IPTC and ADIPEC.

Feel free to reach out for collaborations or opportunities! My complete CV is available in the Full CV page.