Aleah Wattenberg
About Aleah Wattenberg
Aleah Wattenberg is a Lead Data Scientist with extensive experience in data analysis and research. She has worked in various roles at institutions such as Columbia University and Cipherhealth, and holds a Master of Science from Columbia University Mailman School of Public Health.
Current Position at CipherHealth
Aleah Wattenberg serves as the Lead Data Scientist at CipherHealth, a role she has held since 2017. In this position, she leverages her expertise in data analysis to drive insights and support decision-making processes within the organization. Her work focuses on utilizing data to enhance patient engagement and improve healthcare outcomes.
Previous Experience at CipherHealth
Before becoming the Lead Data Scientist, Aleah Wattenberg worked at CipherHealth as a Client Analytics Associate and Data Analyst from 2016 to 2017. In this role, she contributed to data-driven projects that supported client needs and improved operational efficiency. Her experience at CipherHealth laid the groundwork for her advancement within the company.
Research Assistant Role at Columbia University
Aleah Wattenberg was a Research Assistant for the Generations Health Study at Columbia University in the City of New York from 2015 to 2016. During her ten-month tenure, she assisted in research activities that focused on public health issues, contributing to the study's objectives and outcomes.
Educational Background in Public Health
Aleah Wattenberg earned her Master of Science degree from the Columbia University Mailman School of Public Health, completing her studies from 2014 to 2016. This advanced education provided her with a strong foundation in public health principles and research methodologies, which she applies in her current role.
Undergraduate Studies in Cognitive Science
Aleah Wattenberg completed her Bachelor of Science degree in Cognitive Science with a focus on Neuroscience at UC San Diego from 2009 to 2013. This educational background equipped her with a comprehensive understanding of cognitive processes and research techniques, which are integral to her work in data science.