Hello, my name is
Houria BRAIKIA
And I'm
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About me

© Daniel Nicolaevsky – Université PSL
I'm Houria and I'm

I am a third-year Ph.D. student in the LAMSADE Team at Paris Dauphine University, under the supervision of Marta Rucoz and Sana Ben Hamida. My research focuses on predicting the ecological quality of marine environments using machine learning. My field of study is interdisciplinary, bridging computer science, biology, and environmental sciences. My project aims to contribute to saving biodiversity in the oceans (scroll down for more details on my project).
I have a keen interest in bioinformatics and the new possibilities it offers for the advancement of humanity, such as how we live, move, learn, and eat, among others. Applying machine learning algorithms to biological problems is an area of particular interest for me. I am driven by a desire to understand living beings, including species interactions and the functioning of cells and their components, such as proteins, DNA, and RNA, and to study their folding, interactions, and mutations.
One of my greatest strengths is versatility; I am always eager to learn new things and share my knowledge and skills with others.

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My project

Awards and Honors

Participating in this contest was a real adventure and a personal challenge. It helped me push my limits, refine my communication skills, and better understand the importance of making science accessible to everyone. Presenting my research in front of such a distinguished jury was truly an honor.


  • E.M. Mouhoud – President of Université PSL, Jury President
  • Sandy Ouvrier – Director of the Conservatoire national supérieur d'art dramatique – PSL
  • Sandra Démoulin – Director of Communication, Knowledge Sharing and Marketing, Université PSL
  • Olivier Dauchot – Research Director at ESPCI Paris – PSL, Knowledge Sharing Delegate, Université PSL
  • Adam Baïz – MT180 Laureate 2018, Public Policy Evaluation Expert
MT180 image 1
MT180 image 2
© Daniel Nicolaevsky – Université PSL

Publications

Random Forest Classifier for Marine Biodiversity Analysis
Houria Braikia, Sana Ben Hamida, Marta Rukoz
Lire sur HAL
Efficient Data Preprocessing for Ecological Quality Assessment in Marine Environments
Houria Braikia, Sana Ben Hamida, Marta Rukoz
Lire sur HAL
Explainable AI for Marine Ecological Quality Prediction: Integrating Microbiome Data, Metadata, and Diversity
Houria Braikia, Sana Ben Hamida, Marta Rukoz
Lire sur HAL

Teaching

2024 - 2025
Data Analysis - L3 MIAGE
TD - Experience with univariate analysis, variable correlation studies, simple and multiple linear regression. Proficient in dimensionality reduction techniques such as Principal Component Analysis (PCA), as well as classical statistical tests including Student’s t-test and Fisher’s F-test.
- Teaching supervisor : Pierre WOLINSKI

Java Objet - L3 MIAGE
TD/TP - The fundamentals of the Java language and object-oriented programming, exception handling, JUnit testing, the use of design patterns, and the utilization of professional tools such as Eclipse and Git.
- Teaching supervisor : Hugo GILBERT
2023 - 2024
Information Systems Engineering - L3 MIAGE
TD/CM - Introduction to UML course, providing students with their initial concepts in the analysis and modeling of information systems using the UML modeling language.
- Teaching supervisor : Thierry JAILLET

Java Objet - L3 MIAGE
TD/TP - The fundamentals of the Java language and object-oriented programming, exception handling, JUnit testing, the use of design patterns, and the utilization of professional tools such as Eclipse and Git.
- Teaching supervisor : Hugo GILBERT
2022 - 2023
Information Systems Engineering - L3 MIAGE
TD/CM - Introduction to UML course, providing students with their initial concepts in the analysis and modeling of information systems using the UML modeling language.
- Teaching supervisor : Thierry JAILLET

Semi-Structured Database L3
TP - Explore XML (XPath, XSLT, XQuery) and programming (DOM, SAX), as well as JSON, RDF, RDFS, and ontology representation language (OWL), along with RDF data querying using SPARQL.
- Teaching supervisor : Dario COLAZZO

Contact me

Address
Paris, France
Email
houria.braikia@dauphine.psl.eu