Emmanuel Aboah Boateng is currently an Applied Scientist at Microsoft, where his focus is on the development and application of Generative AI/LLMs and Multi-Agent Systems to address pressing real-world challenges. Before joining Microsoft, he obtained his Ph.D. in Computer Engineering from the Tennessee Technological University in Cookeville, Tennessee, USA, specializing in artificial intelligence and data provenance analysis techniques for anomaly detection. He developed new objective functions to facilitate the application of feedforward neural networks in learning complex relationships for one-class classification tasks. He has leveraged his knowledge and skills in AI by developing machine learning frameworks through internship at tech firms, including Apple Inc., Meta Platforms Inc., and BBB Industries, LLC.

His current research interests broadly cover Natural Language Processing, Multi-Agent Systems, and Multi-modal AI. With a keen interest in solving complex mathematical problems and making accurate predictions, he thrives on using a diverse range of machine learning techniques and data analysis tools. Additionally, Emmanuel's experience extends to computer vision, signal processing, and computer architecture, further enhancing his ability to tackle multifaceted challenges.