Dmitri Saberi
About Dmitri Saberi
Dmitri Saberi is an ML Research Engineer with a strong background in mathematics and physics. He has worked at notable institutions such as Stanford University and X, the moonshot factory, and currently contributes to the development of AI at Normal Computing.
Current Role at Normal Computing
Dmitri Saberi currently serves as a Machine Learning Research Engineer at Normal Computing, a position he has held since 2023. He works on-site in New York, New York. In this role, he contributes to the development of scalable and trustworthy thermodynamic AI, utilizing his background in both mathematics and physics to advance the company's research initiatives.
Education and Expertise
Dmitri Saberi has a strong educational background in mathematics and physics. He earned a Bachelor of Science with Honors in Mathematics from Stanford University, studying from 2018 to 2023. Prior to that, he completed a Master's degree in Physics at Washington State University from 2015 to 2018. His academic training provides him with a solid foundation in advanced mathematical theories and physical principles.
Previous Experience at X, the Moonshot Factory
In 2020, Dmitri Saberi worked as a Quantum Resident at X, the moonshot factory, for a duration of six months. During his residency in Mountain View, California, he focused on quantum computing projects, applying his expertise in physics and mathematics to innovative research in the field.
Research at Stanford University
Dmitri Saberi participated in research at the Stanford University Research Institute in Mathematics in 2018. He worked as an Undergraduate Researcher for two months, focusing on advanced mathematical theories. This experience further enhanced his research skills and deepened his understanding of complex mathematical concepts.
Experience at Vatic Investments
Dmitri Saberi gained experience as a Quantitative Researcher at Vatic Investments in 2022. He worked for three months in New York, where he focused on financial modeling. This role allowed him to apply his quantitative skills in a financial context, contributing to the firm's research efforts.