Put AI to Work
April 15-18, 2019
New York, NY
Leah McGuire

Leah McGuire
Principal Member of the Technical Staff, Salesforce

Leah McGuire is a principal member of the technical staff at Salesforce Einstein, where she builds platforms to enable the integration of machine learning into Salesforce products. Previously, Leah was a senior data scientist on the data products team at LinkedIn working on personalization, entity resolution, and relevance for a variety of LinkedIn data products and completed a postdoctoral fellowship at the University of California, Berkeley. She holds a PhD in computational neuroscience from the University of California, San Francisco, where she studied the neural encoding and integration of sensory signals.


1:50pm2:30pm Thursday, April 18, 2019
Case Studies, Machine Learning
Location: Sutton South
Till Bergmann (Salesforce), Leah McGuire (Salesforce)
Label leakage is a pervasive problem in predictive modeling data, and it takes on monstrous proportions at enterprise companies, where the data is populated by diverse business processes, making it hard to distinguish cause from effect. Till Bergmann and Leah McGuire explain how Salesforce—which needs to churn out thousands of customer-specific models for any given use case—tackled this problem. Read more.