Profile

A Journey of Passion and Purpose

I’m Olanrewaju Muili, a Geoscientist and Computer Scientist specializing in data-driven approaches in mining, energy, and environmental sustainability. I hold a Master’s in Geosciences, with a concentration in geology, from Georgia State University, focusing on advanced geospatial technologies, remote sensing, and machine learning. My academic and professional journey has been centered using cutting-edge technologies to address complex geological problems.

Currently, I am pursuing a Master’s in Computer Science at the University of Colorado Boulder, expanding my expertise in machine learning, data mining, and quantum algorithms to enhance geoscience applications. My research interests include Explainable AI (X-GeoAI), Bayesian modeling, and geostatistical inference, with a particular focus on building robust models to address natural resource management, geologic hazards, and promote sustainable practices.

In my current role as an Exploration Geologist, I integrate both field-based and data-driven methodologies to analyze complex geological environments, utilizing industry software and custom computer programming to construct detailed 3D models.

Recognized for my innovations in AI and geoscience, I was awarded the Microsoft Top 2 AI Innovator Award and named a finalist for the prestigious Presidential Management Fellowship (PMF). I actively contribute to professional communities, including the Association for the Advancement of Artificial Intelligence, the American Institute of Professional Geologists, and the International Association for Mathematical Geosciences, while continuing to push the boundaries of AI in spatial and environmental applications.

Underground mining tunnel with wooden staircase
Surface mining operation with excavator
Underground mining tunnel with transport vehicle

A Commitment to Growth and Innovation

I am deeply committed to driving progress in geosciences, with a focus on integrating cutting-edge technology into the mining, energy, and environmental industries.

Professional Mission

To advance and share knowledge in mineral resource management, extractive metallurgy, and assess uncertainty using data-driven numerical modeling methods.