Vida Health
Lawrence Barrett is a seasoned data scientist with extensive experience at Vida Health since October 2016, progressing from Data Scientist/Software Engineer to Staff Data Scientist. Key achievements include defining processes for machine learning model training using BigQueryML and VertexAI, leading engineering projects to optimize clinical protocol documentation, and significantly reducing BigQuery costs through query optimization. Lawrence has also contributed to academia as a Teaching Assistant at the University of Waterloo, and participated in research projects in Graph Theory at Linfield College. Lawrence's educational background includes dual Master’s Degrees in Data Analytics and Computational Mathematics, as well as Bachelor’s Degrees in Mathematics and Economics from the University of Rochester.
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Vida Health
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Vida is a virtual care company that combines a human-centric approach with technology to address chronic and co-occurring physical and behavioral health conditions. They provide personalized chronic condition management combined with health coaching and therapy through a mobile and online platform that supports individuals in managing and significantly improving conditions such as diabetes, hypertension, obesity, depression, anxiety, etc. The platform integrates deeply individual expert care with machine learning and remote monitoring to deliver lasting behavior change, health outcomes and cost savings. Vida is in the business of enabling self-insured employers, health plans and providers to take better care of their employees and members. Vida is trusted by Fortune 1000 companies, major national payers, and large providers to activate, engage, and empower their employees to live their healthiest lives. Based in San Francisco, CA, Vida is backed by investors including Khosla Ventures, StartX, Aspect Ventures, Canvas, Workday, and Nokia.