Henry Kiss Ehrenberg
About Henry Kiss Ehrenberg
Henry Kiss Ehrenberg is a co-founder of Snorkel AI, where he has contributed to the development of a data-first machine learning platform since 2019. He has a strong background in applied mathematics and computational engineering, with experience in both academic and industry settings, including positions at Stanford University and Facebook.
Work at Snorkel AI
Henry Kiss Ehrenberg serves as a Co-Founder at Snorkel AI, a role he has held since 2019. The company is based in Palo Alto, California, and focuses on developing data-first machine learning solutions. Ehrenberg has been instrumental in growing the team, actively seeking new talent across various technical domains. He contributed to the development of Snorkel Flow, a platform that enhances machine learning development processes. The Snorkel research project, which began in the Stanford AI Lab, has been deployed with organizations such as Google, Intel, and Stanford Medicine.
Education and Expertise
Ehrenberg holds a Master of Science (MS) in Computational and Mathematical Engineering with a focus on Data Science from Stanford University, where he studied from 2015 to 2017. He also earned a Bachelor of Science (BS) in Applied Mathematics from Yale University, completing his degree in 2015. His educational background provides a strong foundation in both applied mathematics and computational engineering, allowing him to combine expertise in data science and quantitative analysis.
Background
Ehrenberg has a diverse background that includes both academic and industry experiences. He worked as a Research Assistant in various capacities, including at the Hazy Research Group at Stanford University, where he focused on machine learning and data management systems. His industry experience includes roles at Facebook as a Senior Applied Research Scientist and as a Quantitative Engineering Intern. He also interned at Bluenose Analytics, Inc. and contributed to research at the Weizmann Institute of Science and Yale School of Medicine.
Achievements
Ehrenberg has contributed to over 60 peer-reviewed publications as part of the Snorkel research project. He co-authored a paper titled 'Data Programming With DDLite: Putting Humans in a Different Part of the Loop,' published in SIGMOD. His work has significantly impacted the field of machine learning, particularly in areas related to programmatic labeling and weak supervision. Ehrenberg's contributions have been recognized within the academic community and have influenced practical applications in various organizations.