Ogi Ogas is an American computational neuroscientist and science author renowned for his interdisciplinary exploration of human cognition, decision-making, and behavior through the lens of data science and mathematical modeling. Educated at Boston University, where he earned a Ph.D. in cognitive psychology, Ogas merges academic rigor with accessible storytelling to bridge neuroscience and public understanding. He currently advises organizations on decision science and continues to explore the intersection of technology, neuroscience, and individuality, cementing his role as a translator between complex computational theories and real-world applications.

His research employs computational frameworks to decode complex neural processes, particularly in learning and choice. He gained prominence as co-author of A Billion Wicked Thoughts (2011, with Sai Gaddam), a groundbreaking analysis of internet search data revealing patterns in human desire, and Dark Horse (2018, with Toby Brown), which examines individuality in career success using empirical psychology.

Ogas has contributed to media outlets like Wired and The Guardian. A dynamic communicator, he lectures on neuroscience, AI, and personalized achievement, advocating for data-driven insights into human potential. His innovative approach—applying big data analytics to traditional psychological questions—has established him as a distinctive voice in both scientific and popular discourse.

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