News 2022

Computer Systems

Laurent Bindschaedler joins MPI-SWS

November 2022
Homepage News, New faculty
Laurent Bindschaedler joins MPI-SWS as a Research Group Leader at our institute starting November 2022. Laurent will be heading the Data Systems Group (DSG), which is focused on exploring a wide range of topics at the intersection of systems, data management, and machine learning. His group is particularly interested in systems for big data and machine learning, machine learning for systems, real-time analytics systems, and decentralized systems.

Before joining MPI-SWS, Laurent was a postdoctoral researcher at MIT CSAIL, ...
Laurent Bindschaedler joins MPI-SWS as a Research Group Leader at our institute starting November 2022. Laurent will be heading the Data Systems Group (DSG), which is focused on exploring a wide range of topics at the intersection of systems, data management, and machine learning. His group is particularly interested in systems for big data and machine learning, machine learning for systems, real-time analytics systems, and decentralized systems.


Before joining MPI-SWS, Laurent was a postdoctoral researcher at MIT CSAIL, working with Prof. Tim Kraska. He completed his Ph.D. at EPFL, advised by Prof. Willy Zwaenepoel. Laurent built the Chaos graph processing system, which holds a record for the largest graph processed in a small cluster of commodity servers. He is the recipient of a Swiss National Science Foundation Fellowship from 2020 to 2022 and an EPFL EDIC Fellowship from 2015 to 2016.


Laurent’s personal website: https://binds.ch

Read more

Two faculty win prestigious Google Research Scholar awards

June 2022
Grants, Homepage News

Two MPI-SWS faculty, Maria Christakis and Elissa Redmiles, have earned highly competitive Google Research Scholar awards. Maria Christakis's award was given for her research on metamorphic specification and testing of machine-learning models and Elissa Redmiles's award was given for her research on aligning technical data privacy protections with user concerns.


The Google Research Scholar Program provides unrestricted gifts of up to $60,000 to support research at institutions around the world and is focused on funding world-class research conducted by early-career professors. ...

Two MPI-SWS faculty, Maria Christakis and Elissa Redmiles, have earned highly competitive Google Research Scholar awards. Maria Christakis's award was given for her research on metamorphic specification and testing of machine-learning models and Elissa Redmiles's award was given for her research on aligning technical data privacy protections with user concerns.


The Google Research Scholar Program provides unrestricted gifts of up to $60,000 to support research at institutions around the world and is focused on funding world-class research conducted by early-career professors. Award proposals go through an internal, merit-based review process and selected faculty can receive a Google Research Scholar award only once in their career. Award recipients are assigned a liaison at the company to share findings with and as a point of contact for further collaboration.
Read more

MPI-SWS releases the first data anonymization tool as part of the Open Diffix project.

March 2022
Open Diffix is an MPI-SWS-supported open software project to develop strong but usable data anonymization. Open Diffix is built on the data anonymization technology Diffix, which has been developed in a research partnership between the group of Paul Francis and Aircloak GmbH. Open Diffix recently released its first tool, "Diffix for Desktop". Designed with extreme ease-of-use in mind, Diffix for Desktop can be used by non-experts to safely release sensitive data to the public. ...
Open Diffix is an MPI-SWS-supported open software project to develop strong but usable data anonymization. Open Diffix is built on the data anonymization technology Diffix, which has been developed in a research partnership between the group of Paul Francis and Aircloak GmbH. Open Diffix recently released its first tool, "Diffix for Desktop". Designed with extreme ease-of-use in mind, Diffix for Desktop can be used by non-experts to safely release sensitive data to the public. Diffix for Desktop frees users from concerns about anonymity, allowing them to focus on data quality.
Read more