Kendall Loh
About Kendall Loh
Kendall Loh is a Machine Learning Research Scientist specializing in precision medicine, currently working at Aitia. With a background in biochemistry and public health research, Loh has contributed to the development of machine learning solutions in healthcare since 2021.
Current Role at Aitia
Kendall Loh currently serves as a Machine Learning Research Scientist in Precision Medicine at Aitia. In this role, which began in 2021, Loh focuses on leveraging machine learning techniques to enhance precision medicine solutions. The position is based in Greater Boston, where Loh applies expertise in data modeling to contribute to innovative healthcare solutions.
Previous Experience at Aitia
Prior to the current role, Kendall Loh held several positions at Aitia. Loh worked as a Machine Learning Data Scientist in Precision Medicine from 2020 to 2021, and as a Machine Learning Product Management Graduate Intern for three months in 2019. Additionally, Loh served as an Associate Software Engineer UAT (Algorithm & Product) from 2019 to 2020. These roles involved developing and implementing machine learning algorithms and products aimed at improving healthcare outcomes.
Education and Expertise
Kendall Loh holds a Bachelor of Science degree in Biochemistry from Binghamton University. Loh furthered education by obtaining a Master's degree in Quantitative Methods in the Social Sciences with a focus on Data Science from Columbia University Graduate School of Arts and Sciences. This educational background supports Loh's expertise in data modeling and machine learning, particularly in the context of precision medicine.
Background in Public Health Research
Before joining Aitia, Kendall Loh worked at Yale University School of Medicine as a Research Associate at the Center for Outcomes Research and Evaluation from 2016 to 2018. This role involved conducting public health research focused on outcomes research and evaluation, providing a foundation for Loh's current work in precision medicine.