I'm Laurent Bindschaedler

Systems Researcher and Startup Entrepreneur

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Laurent Bindschaedler is a graduating PhD student at EPFL, Switzerland. His interests lie in big data, cloud computing, and security. He has been obsessed about systems design and software architecture since he was 12. Entrepreneur in his spare time, he also enjoys chess, cooking, and improvisational theatre.

Research Interests

Big Data
Distributed Systems
Software Architecture
Machine Learning
Cloud Computing
Security & Privacy


Rock You Like a Hurricane: Taming Skew in Large Scale Analytics
In Proceedings of the Thirteenth EuroSys Conference (2018).
Laurent Bindschaedler, Jasmina Malicevic, Nicolas Schiper, Ashvin Goel, and Willy Zwaenepoel.
[ PDF] [ Slides] [ Video] [ Code] [ BibTeX]
Chaos: Scale-out Graph Processing from Secondary Storage
In Proceedings of the 25th Symposium on Operating Systems Principles (2015).
Amitabha Roy, Laurent Bindschaedler, Jasmina Malicevic, and Willy Zwaenepoel.
[ PDF] [ Slides] [ Video] [ Code] [ BibTeX]
Benchmarking X-Stream and Graphchi
EPFL Technical Report (2014).
Laurent Bindschaedler, and Amitabha Roy.
[ PDF] [ Code] [ BibTeX]
Big Brother Knows Your Friends: on Privacy of Social Communities in Pervasive Networks
In Proceedings of the 10th International Conference on Pervasive Computing (2012).
Igor Bilogrevic, Murtuza Jadliwala, Istvan Lam, Imad Aad, Philipp Ginzboorg, Valtteri Niemi, Laurent Bindschaedler, and Jean-Pierre Hubaux.
[ PDF] [ BibTeX]
Track Me If You Can: on the Effectiveness of Context-based Identifier Changes in Deployed Mobile Networks
In Proceedings of the 19th Annual Network & Distributed System Security Symposium (2012).
Laurent Bindschaedler, Murtuza Jadliwala, Igor Bilogrevic, Imad Aad, Philipp Ginzboorg, Valtteri Niemi, and Jean-Pierre Hubaux.
[ PDF] [ Slides] [ Code] [ BibTeX]
Making Mobile Augmented Reality A Reality
In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (2011).
Laurent Bindschaedler, Hendrik Knoche, and Jeffrey Huang.
[ PDF] [ Code] [ BibTeX]






Taming Skew in Large Scale Analytics
Hurricane, big data, analytics, cluster computing, skew, high performance, task cloning, adaptive work partitioning, merging, repartitioning, load balancing, storage disaggregation, decentralized storage, bags, chunks, fine-grained partitioning, distributed scheduling, batch sampling, late binding.

Hurricane is a high-performance large-scale data analytics system that successfully tames skew in novel ways. Hurricane performs adaptive work partitioning based on load observed by nodes at runtime. Overloaded nodes can spawn clones of their tasks at any point during their execution, with each clone processing a subset of the original data.





Graph Analytics
Scale-out Graph Processing from Secondary Storage
Chaos, big data, analytics, graph processing, high performance, edge-centric, streaming partition, disaggregation, secondary storage, work stealing.

Chaos is a graph processing system for analytics on big graphs using small clusters. Chaos builds on the X-Stream single-machine graph processing system, but scales out to multiple machines. Chaos treats the aggregate storage of all machines as a single flat disk and uses work stealing to balance the load across nodes in the cluster. It exposes the familiar scatter-gather-apply programming model.

Work Experience

2015 -

PhD Candidate

LABOS, IC Faculty

Thesis Advisor: Prof. Willy Zwaenepoel.

2014 - 2015

Scientific Assistant

LABOS, IC Faculty

2013 - 2014

IT Consultant

Multiple companies active in financial services (hedge funds, family offices, etc.).

2010 - 2011

Student Assistant

IC Faculty

2006 - 2011

Software Engineering Consultant

Phylak Sachsen GmbH

2006 - 2018

IT Pioneer

Swiss Armed Forces

Army Staff - 1st Army Region.


2015 -

PhD in Computer Science

2009 - 2011

Master in Computer Science

2007 - 2009

Bachelor in Computer Science

Awards and Achievements

Teaching Assistant Award — EPFL IC Faculty — 2017
Awarded by EPFL’s School of Computer and Communication Sciences for excellent contributions to teaching. [ Link]
Public Prize Winner — Exposure Movie Hackathon — 2017
Exposure is a 3-day hackathon that brings together scientists and filmmakers to create short science films. “Jenna & DANBOT”, our movie about Artificial Intelligence and Machine Learning was voted best film by the public. [ Link] [ IMDb] [ Watch]
Round 1 Winner — Venture Kick — 2012
Venture Kick is an initiative to support Swiss startups with enough funding to kick-start their entrepreneurial success. Awarded a first round grant with LakeMind. [ Link]

Contact Me

Feel free to get in touch with me. I am always open to discussing new ideas, projects or opportunities.

Latest Tweets

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