Daniel Livschitz

Daniel Livschitz is a Product Marketing Manager at Grid Dynamics, responsible for developing product positioning materials for Generative AI solutions within GCP partnerships. With a diverse background that includes roles as a Data Scientist in Machine Learning and a Quantitative Analyst, Daniel has a strong foundation in applied mathematics and computer science. Currently a Joseph and Elizabeth Peeler Fellow at Claremont Graduate University, pursuing a PhD in Applied Mathematics, Daniel's academic journey includes significant research in mathematical finance, probability, statistics, and machine learning applications. Previous experiences also encompass positions such as Options Analyst Intern and Software Engineering Intern, showcasing a robust analytical and technical skill set.