Mawulolo Ameko, Ph.D.
Login to view DISC.Mawulolo Ameko is an Applied Scientist at Microsoft with a Ph. D. from the University of Virginia. He specializes in applying AI, reinforcement learning, and causal modeling to build large-scale solutions that drive business outcomes. His experience spans user modeling, recommender systems at Netflix, and logistics ML at DoorDash.
His academic research focused on creating AI-driven mobile health interventions. Specifically, he developed recommender algorithms to suggest emotion regulation strategies for individuals with social anxiety, using passively sensed data to deliver targeted, just-in-time mental health support.
Unique fact: He co-authored research on using contextual multi-armed bandits, a type of reinforcement learning, to create mobile recommender systems for mental health treatments.
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