Principal (Generative AI/ML/Data Privacy) at Keystone

Data scientist working at the cross-section of technology, business strategy, and economics. Practice focuses on generative AI and data privacy with experience in responsible machine learning, algorithmic interpretability, advertising technology, antitrust and IP law, creator incentives, and digital transformation. Past experience includes working in bioinformatics with large-scale DNA data, developing probabilistic models for pharmaceutical sale optimizations, and conducting preventative healthcare research involving wearable sensors. Expertise in physics, including work in defense, as well as astrophysics and climate change research. I am excited about the role of data science in helping others lead longer and healthier lives, in the development of innovative technologies, and in the advancement of ethical public policy. I am also passionate about entrepreneurship and education, and I am always eager to continue to learn and to solve complex problems.