Brooke Wenig is a Machine Learning Practice Lead at Databricks. She leads a team of data scientists who develop large-scale machine learning pipelines for customers, as well as teach courses on distributed machine learning best practices. She is a co-author of Learning Spark, 2nd Edition, co-instructor of the Distributed Computing with Spark SQL Coursera course, and co-host of the Data Brew podcast. She received an MS in Computer Science from UCLA with a focus on distributed machine learning and a BA in Chinese. She enjoys cycling and taking her dog, Bingo, to the beach.
Catch me at these sessions
LLMOps: Everything You Need to Know to Manage LLMs
DSML: Production ML / MLOps, Databricks Experience (DBX)
In Person, Virtual
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