ADS Drinks & Data: ADS Meets CIDR

The Conference on Innovative Data Systems Research (CIDR) is a systems-oriented conference, emphasizing the systems architecture perspective. It is complementary in its mission to the mainstream database conferences like SIGMOD and VLDB.

Amsterdam Data Science would like to invite you to this special meetup where we will hear from Turing award winner Michael Stonebraker, Stanford associate professor Christopher Ré and UvA professor by special appointment, Hinda Haned.

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲
14:30 Walk in, Networking & Drinks
15:00 Introduction
15:05 Talk #1 - Michael Stonebraker: Data Science: Most of Us Are Working on the Wrong Problem
15:40 Talk #2 - Christopher Ré: If you want to be rich, get a lot of money: Theory and Systems for Weak Supervision
16:15 Talk #3 - Hinda Haned: On the challenges of bringing explainable AI to practice
16:50 Drinks & Networking
17:30 End

𝗖𝗵𝗮𝗶𝗿
Peter Boncz, professor of Large-Scale Analytical Data Management at Vrije Universiteit Amsterdam and senior researcher in the Database Architectures Group at CWI.

𝗠𝗶𝗰𝗵𝗮𝗲𝗹 𝗦𝘁𝗼𝗻𝗲𝗯𝗿𝗮𝗸𝗲𝗿
Michael was the main architect of the INGRES relational DBMS, and the object- relational DBMS, POSTGRES. These prototypes were developed at the University of California at Berkeley where Stonebraker was a Professor of Computer Science for 25 years. More recently at M.I.T. he was a co-architect of the Aurora/Borealis stream processing engine, the C-Store column-oriented DBMS, the H-Store transaction processing engine, the SciDB array DBMS, and the Data Tamer data curation system. Presently, he serves as Chief Technology Officer of Paradigm4 and Tamr, Inc. He was awarded the IEEE John Von Neumann award in 2005 and the 2014 Turing Award, and is presently an Adjunct Professor of Computer Science at M.I.T, where he is co- director of the Intel Science and Technology Center focused on big data.

𝗖𝗵𝗿𝗶𝘀𝘁𝗼𝗽𝗵𝗲𝗿 𝗥é
Chris is an associate professor in the Department of Computer Science at Stanford University. He is affiliated with the Statistical Machine Learning Group and Stanford AI Lab. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. He cofounded a company, based on his research into machine learning systems, that was acquired by Apple in 2017. More recently, he cofounded SambaNova systems based, in part, on his work on accelerating machine learning.

𝗛𝗶𝗻𝗱𝗮 𝗛𝗮𝗻𝗲𝗱
Hinda has been lead data scientist at Ahold Delhaize since 2015, where her activities involve designing and building solutions to answer business questions with data mining and machine learning techniques. In 2018, she was named professor by special appointment at the University of Amsterdam, where she focuses on researching and developing solutions for best practices for safe and responsible machine learning. From 2010 to 2015, she worked as a research statistician at the Netherlands Forensic Institute, during this time, she developed statistical models and open source software to facilitate the interpretation of complex DNA profiles.

𝗗𝗲𝘁𝗮𝗶𝗹𝘀
Date: Wednesday 15 January 2020
Time: 15:00-17:30
Location: Mövenpick Hotel, Amsterdam

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Registration is free but you must do so in advance through the Meetup page. The event will be in English.

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Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.