Samantha Robertson
About Samantha Robertson
Samantha Robertson is a Machine Learning Engineer currently employed at Abridge, where she focuses on integrating AI-generated summaries with electronic medical records. She holds a PhD in Electrical Engineering and Computer Science from the University of California, Berkeley, and has previous experience as a research intern at Google and Apple.
Work at Abridge
Samantha Robertson has been employed at Abridge as a Machine Learning Engineer since 2024. In her role, she contributes to the development of tools that enhance machine learning evaluation practices. She focuses on integrating AI-generated summaries with electronic medical records to improve clinical documentation. Her work is part of a team that is pioneering generative AI applications specifically tailored for healthcare settings.
Previous Experience at Google
Samantha worked as a Research Intern at Google for three months in 2021. During her internship, she engaged in projects that involved machine learning, gaining valuable experience in the field. This role provided her with insights into advanced technologies and research methodologies.
Education and Expertise
Samantha Robertson earned her Doctor of Philosophy (PhD) in Electrical Engineering & Computer Science from the University of California, Berkeley, where she studied from 2019 to 2023. Prior to that, she completed her Bachelor of Science (BS) in Mathematical and Computational Science at Stanford University from 2015 to 2019. Her educational background equips her with a strong foundation in machine learning and computational techniques.
Research Experience at Stanford University
At Stanford University, Samantha served as an Undergraduate Research Assistant from 2017 to 2019. In this role, she contributed to various research projects, enhancing her skills in computational science and machine learning. This experience laid the groundwork for her future endeavors in the field.
Internship at Apple
In 2022, Samantha completed a four-month internship as a Machine Learning Research Intern at Apple. This position allowed her to further develop her expertise in machine learning and explore innovative applications within the tech industry.