Albert Sun
About Albert Sun
Albert Sun is a Machine Learning Research Engineer currently working at Dynamo AI, where he focuses on developing privacy-related machine learning products. He has previously held positions at various organizations, including the Vera Institute of Justice, Duke University, and Microsoft.
Work at Dynamo AI
Albert Sun serves as a Machine Learning Research Engineer at Dynamo AI since 2023. In this role, he focuses on developing privacy-related machine learning products and tools. His work emphasizes the importance of privacy in machine learning applications, contributing to the company's mission of creating secure and effective AI solutions.
Education and Expertise
Albert Sun holds a Bachelor's degree in Computer Science from Duke University. He also studied Computer Science at Queen Mary University of London as part of a study abroad program. His educational background provides a solid foundation in computer science principles, which he applies in his machine learning research and product development.
Background in Data Science and Research
Albert has a diverse background in data science and research. He worked as a Data Science Intern at the Vera Institute of Justice for eight months in Brooklyn, New York. Additionally, he served as an Undergraduate Researcher at Duke University for one year, where he gained practical experience in research methodologies and data analysis.
Internship Experience
Albert has completed several internships that enhanced his skills in machine learning and data analysis. He was a Legal Intern at the ACLU in 2020, a Research Intern at Microsoft in 2022, and a Machine Learning Research Intern at Curai Health in 2023. These roles allowed him to apply his knowledge in real-world settings and collaborate on various projects.
Leadership and Teaching Roles
Albert founded Tech for Equity, an initiative focused on leveraging technology for social good, which he led from 2020 to 2021. He also served as a Teaching Assistant at Duke University for two years, where he supported students in their learning and contributed to the academic community.