Abdullah AlShelahi is a data science manager at JPMorgan Chase, where he leads a team of scientists and researchers in developing machine learning and AI solutions for credit risk, fraud detection, and financial decision-making. His work emphasizes scalable, explainable, and fairness-aware models that enhance portfolio outcomes while meeting regulatory and ethical standards. Previously, Abdullah was a lead and senior data scientist at JPMorgan Chase, driving projects that delivered multimillion-dollar annual savings and advancing the use of reinforcement learning and deep learning for risk management. He also held a research role at General Motors, where he developed optimization and forecasting models for emerging mobility solutions.
Abdullah earned a BSc in industrial and management systems engineering from Kuwait University and both an MS and PhD in the same field from the University of Michigan, Ann Arbor. His research spans reinforcement learning, stochastic optimization, and financial engineering, with publications in journals including IEEE Transactions on Sustainable Energy, Applied Energy, and Physica A. His current work integrates advanced machine learning with financial engineering to address challenges in risk modeling and decision-making.
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