About me
With a keen interest in the intricacies of distributed systems, I delve into critical areas such as performance, privacy, and high-availability, particularly within large-scale systems. My knowledge in optimization and machine learning, coupled with my proficiency in both high and low-level development and mastery of DevOps/CloudOps techniques, fuels my pursuit in this domain.
Bio
Since April 2024, I am an associate professor at IMT Atlantique (Nantes, France), part of the STACK team.
I have served as a post-doctoral researcher at UCLouvain in Belgium, working within the Cloud large scale team under the leadership of Pr. Etienne Rivière on subjects linked to performance, security and high availability of distributed systems and on big data systems. In 2019, I earned my PhD in Computer Science from Université de Lorraine in Nancy, guided by Pr. François Charoy and Dr. Samir Youcef. My doctoral research addressed the elasticity of BPM engines within cloud environments, a project carried out in partnership with Bonitasoft, an industry leader in digital process automation. I then served as a teaching assistant (ATER) at Université de Lorraine for a year.
Prior to my doctoral studies, I spent a decade as a developer and subsequently a lead developer in business software. While engaging in my professional pursuits, I also advanced my academic studies through evening courses at CNAM Toulouse and CNAM Paris. I graduated with a Master of Engineering (specializing in modeling and optimization) in 2012 and a Master of Research (specializing in information and data processing using statistics and Machine Learning techniques) in 2013 from CNAM Paris.
Current research interests
- Transversal computing through proxies, service meshes and code interposition
- Decentralized datacenter applications in customer devices
- Stream processing performance measurements and optimization
- More generally, enhancing performance, privacy, and resilience in large-scale systems
Last news
- 08/2026: our paper Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics has been accepted at Euro-Par’26
- 06/2026: our paper Alloy: Transparent Proxy-Based Coupling Between Stream Processing and Storage has been accepted at DEBS’26
- 03/2026: our paper Charon: Fine-Grain Resource Allocation and Optimized Task Placement for Multi-Query Distributed Stream Processing has been presented at SAC’26
- 06/2025: our paper Justin: Hybrid CPU/Memory elastic scaling for distributed stream processing has been accepted at DAIS’25
- 06/2025: our paper A Tale of Many Streams: Characterizing a Hybrid Batch-Stream Production Workload in Digazu, a Data Lake supported by Apache Kafka and Flink has been accepted at DEBS’25
- 06/2024: our paper StreamBed has been accepted at the DEBS’24 conference
- 04/2024: began a permanent position as an associate professor at IMT Atlantique
- 10/2023: honored to be invited to the Middleware’24 Program Committee
- 09/2023: added arXiv preprint of our work StreamBed: capacity planning for stream processing