Daniel Hannah is a Principal Scientist at SES AI Corp, where he leverages over a decade of experience in machine learning to drive innovation in energy storage solutions. His current focus is on the intersection of artificial intelligence and materials science, specifically aimed at discovering...
Daniel Hannah is a Principal Scientist at SES AI Corp, where he leverages over a decade of experience in machine learning to drive innovation in energy storage solutions. His current focus is on the intersection of artificial intelligence and materials science, specifically aimed at discovering new materials that can enhance energy storage capabilities. At SES, Daniel leads a research program dedicated to understanding model generalization across chemical space, a critical area that enables the development of robust AI models capable of predicting material properties and behaviors.
His expertise spans multiple domains, including physical chemistry, nanotechnology, and spectroscopy, which he integrates with advanced programming skills in Python, C++, and Mathematica to create sophisticated ML-powered solutions. Daniel's work not only addresses immediate challenges in energy storage but also contributes to broader applications in sustainability and renewable energy technologies. He is adept at utilizing statistical methods and data analysis tools like MongoDB and SAS to extract meaningful insights from complex datasets, ensuring that his research is both impactful and grounded in empirical evidence.
In addition to his technical prowess, Daniel excels in collaborative environments, often engaging with cross-functional teams to translate scientific discoveries into practical applications. His commitment to advancing the field of AI in scientific research positions him as a thought leader at SES, where he continues to push the boundaries of what is possible in material discovery and energy solutions. As he navigates the complexities of chemical space, Daniel remains dedicated to fostering innovation that can lead to transformative advancements in energy storage technologies.
