Daniel Neems is an experienced data science professional currently serving as a Staff Data Scientist at Tempus Labs, Inc., since May 2018, following roles as a Senior Data Scientist and Machine Learning Engineer. Previously, Daniel operated as the Lead Data Scientist at higi, where notable contributions included implementing Apache Airflow for enhanced ETL pipeline monitoring and developing a unified data warehouse using Snowflake technology. Daniel also served as a Data Science Researcher and a Fellow at Insight Data Science, focusing on machine learning applications. Academic credentials include a Ph.D. in Cellular and Molecular Biology from Northwestern University, complemented by a management certificate from the Kellogg School of Management, and a Bachelor's Degree in Biochemistry from Bates College.
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