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Speaker: Eduardo Alvarez, Intel

Fossil exploration is a key component of paleontology and helps us better understand the rich history of life on our planet. In this workshop, we will provide an intro-level walkthrough of a case study in Utah's Dinosaur National Monument Fossil Bone Quarry. We will use a labeled aerial photography dataset to train a model for fossil detection and then predict the likelihood of dinosaur fossils from google earth images. As part of this exercise, you will also receive training on utilizing intel's oneAPI AI Analytics Toolkit to perform accelerated training and inference. The entire workshop will take place on intel's free DevCloud jupyter lab notebook environment. Let out your inner Jurassic Park fan and join us for an afternoon of Dino Hunting!

Speaker Biography: Eduardo Alvarez, Intel
Eduardo Alvarez has a degree in Geophysics from Texas A&M University and is currently pursuing his Masters in Computer Science at Georgia Tech. He previously worked at various startups in the “Energy Tech” space where he held a variety of roles ranging from Data Analyst to Software Engineering Manager. Prior to his role with Intel as a Senior AI Solutions Engineer, Eduardo’s main focus was building software tools that helped democratize data-driven solutions for cross-disciplinary professionals in the energy sector. His primary research and engineering interests focus on Time-series Analysis/Forecasting, Reinforcement Learning, Computer Vision, Cloud Solutions Architecture, MLOps, and DevOps. During his time at Quantico, Eduardo led the team that delivered the energy industry’s first low-code ML cloud-native web application for subsurface analytics – a tool that is currently being used around the world by E&P companies to drill and produce energy in more efficient and environmentally friendly ways. In addition to his primary job functions, Eduardo is a community leader in data science and ML/AI for geosciences.