Lab42 Science Park

Databricks x ADS Meetup | Matei Zaharia

ADS will host a Meetup in collaboration with Databricks and their co-founder and CTO Matei Zaharia. He will give a 45-minute talk with a Q&A and networking afterwards at Lab42, Amsterdam Science Park. You are welcome to join us to hear him discuss the release of Dolly 2.0, an open source conversational language model! Click on attending via our Meetup page here!


16:15 Walk-in
16:30 Introduction & Welcome
16:35 Talk #1: Matei Zaharia (Databricks, Stanford University)
17:20 Discussion
18:05 Drinks!
18:30 End

Location: LAB42 Science Park, room L1.02
Date: May 16th 2023
Time: 16:30 – 18:30

 Matei Zaharia (Databricks, Stanford University)
Matei is an associate professor at Stanford CS, where he works on computer systems and machine learning as part of Stanford DAWN. He also co-founded and is the Chief Technologist of Databricks, a data and AI platform startup.

  • Interests: He is interested in computer systems for emerging large-scale workloads such as machine learning, big data analytics and cloud computing. In DAWN, he’s working on infrastructure for usable machine learning to make it dramatically easier to bring ML applications to production: these issues are often much larger obstacles than ML algorithms in practice. His work includes software runtimesquality assurance tools and systems optimizations for ML. He is also interested in data privacy as the flipside to big data, and have worked on systems that can provide scalable privacy for communicationInternet queries and SaaS applications.
  • Impact: Matei his group works closely with the open source community to test and publish our ideas. During his PhD, he started the Apache Spark project, which is now one of the most widely used frameworks for distributed data processing, and co-started other widely used datacenter software such as Apache MesosAlluxio, and Spark Streaming. At Stanford, they developed DAWNBench, a machine learning performance competition that drew submissions from the top industry groups and influenced the industry-standard MLPerf, and they are continuing to develop open source software such as WeldNoScopeFlexFlow, and ColBERT.

Some of the work has been featured in Wired (1/2/3), FortuneTechCrunchThe Wall Street JournalThe RegisterArs TechnicaMotherboardZDNetThe Economist, and Forbes.