Adrian Lam
About Adrian Lam
Adrian Lam is a Staff Machine Learning Research Engineer currently at Scale AI, where he has worked since 2022. He has extensive experience in machine learning and data science, having previously held positions at Change Healthcare, SAP Labs, and Scale AI, and he holds a PhD in Bioengineering from the Georgia Institute of Technology.
Current Role at ScaleAI
Adrian Lam currently serves as a Staff Machine Learning Research Engineer at Scale AI, a position he has held since 2022. In this role, he focuses on advancing machine learning technologies and applications within the organization. His expertise contributes to the development of innovative solutions that enhance data processing and analysis capabilities.
Previous Experience at Scale AI
Prior to his current role, Adrian worked at Scale AI as a Senior Machine Learning Research Engineer from 2020 to 2022. During this time, he played a significant role in various machine learning projects, leveraging his skills to improve the efficiency and effectiveness of AI models and systems.
Experience at Change Healthcare
Adrian Lam has a history of working at Change Healthcare, where he held the positions of Data Scientist and AI Project Lead from 2018 to 2020. In these roles, he contributed to the development of data-driven solutions aimed at improving healthcare outcomes. He also worked as a Data Scientist at Change Healthcare for a brief period from 2017 to 2018.
Education and Academic Background
Adrian Lam earned his PhD in Bioengineering from the Georgia Institute of Technology, where he studied from 2010 to 2015. He also holds a Bachelor of Science degree in Biomedical Engineering from the University of California, Davis, completed from 2006 to 2010. His academic background provided a strong foundation for his career in machine learning and data science.
Additional Professional Experience
In addition to his roles at Scale AI and Change Healthcare, Adrian has worked at SAP Labs as a Data Scientist and Developer from 2016 to 2017. He also gained experience as a Graduate Research Assistant at Georgia Institute of Technology and as a Research Assistant and Academic Peer Adviser at UC Davis. His diverse experience includes internships and fellowships that have contributed to his professional development.