I am currently a Postdoc in Software Engineering @Delft University of Technology, in the SERG research team, under the mentorship of Luís Cruz. I am looking at Sustainability in Software Engineering, and more specifically at how to apply Approximate Computing to build more sustainable/greener (AI-based)(software) systems.

I did my PhD in Software Engineering at the University of Rennes 1. My doctorate was part of a collaboration between the IRISA and OSUR laboratories and reflected the desire to bring software engineering closer to the scientific field of hydrogeology. Thus, I participated in the research activities of the DiverSE and DIMENV@risce teams.

My work dealt with modelling for decision making and flood risk assessment (w.r.t climate change). I applied approximate computing techniques to scientific models in order to make the exploration of simulation and prediction results accessible to decision makers. In my journey to achieve that goal, I received valuable advice from my supervisors Johann Bourcier, Jean-Raynald de Dreuzy and Benoit Combemale.

Overall, my research work mainly focuses on Software Engineering and Sustainability. I am interested in how to apply Approximate Computing to reach more Sustainability in and thanks to Software Engineering.

I am currently involved in teaching the course Sustainable Software Engineering [2023 & 2024] at TU Delft, managed by Luís Cruz.

Previously, I had the chance to be a teaching assistant at the University of Rennes 1, ISTIC, France.

2020-2021

• Analysis and Object-Oriented Design (ACO) : Master Degree (M1) / Labs
• Distributed Information Systems (SIR) : Master Degree (M1) / Labs

2019-2020

• Scientific Modelling : Master Degree (M2) / Courses & Labs
• Analysis and Object-Oriented Design (ACO) : Master Degree (M1) / Labs
• Distributed Information Systems (SIR) : Master Degree (M1) / Labs

2018-2019

• Software Architecture & Web Development (TAA) : Master Degree (M2) / Labs
• Analysis and Object-Oriented Design (ACO) : Master Degree (M1) / Labs
• Distributed Information Systems (SIR) : Master Degree (M1) / Labs

Organisation

Conferences

2024

• ICT4S'24
  • Co-Chair of the Doctoral Symposium

2023

• ICT4S'23
  • Co-Chair of the Demonstrations & Posters Track

2022

• ICT4S'22
  • Session Chair (Hybrid & IRL sessions)

Seminars/Workshops

2024

• Behave Spring 2024 online seminar
  • Co-Organiser

Program Committee Member

Conferences

2024

• SANER'24 [Short Papers and Posters Track]

• MSR'24 [Data and Tool Showcase Track]

• QUATIC'24 [Sustainability as a Quality Concern Track]

2023

• ICT4S'23 [Main Track]

• MODELS'23 [Artifact Evaluation Committee]

2022

• RE'22 [Co-reviewer, Research Track]

2020

• MODELS'20 [Artifact Evaluation Committee]

Workshops

2024

• SusMod'24
• LIMITS'24
• SusPETs'24

2023

• Models and Evolution [Special theme: Sustainability]
• LIMITS'23
• BENEVOL'23

Reviewer

Journals

2024

• International Journal on Software and Systems Modeling (SOSYM) [Theme Section: Modeling and Sustainability]
  • Reviewer (1 Paper)

2023

• International Journal on Software and Systems Modeling (SOSYM)
  • Reviewer (1 Paper)
• ACM Transactions on Software Engineering and Methodology (TOSEM)
  • Reviewer (1 Paper)

Others

2023

• SCORE 2023 (ICSE'23) [Student Contest in Software Engineering]
  • PC Member & Jury Member

2023

• Best Paper Award [CAIN'23]
  • “Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI”

• 2023 SoSyM Best Reviewer Award
  • Journal of Software and Systems Modeling
  • “Top 3% of SoSyM Reviewers” for 2023

2022

• Best Poster - First prize of the jury [Alice & Eve 2022]
  • “Approximate Computing: A way towards Sustainability”

Media

Green AI:

LLMs in SE:

Outreach

Pint of Science