PhD candidate in Computer Science @spring-epfl.
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EPFL - École Polytechnique Fédérale de Lausanne
Data Scientist
June 27, 2026 – Present
SPRINGERs
March 21, 2025 – May 30, 2025
Project for the COM480 course about GDPR violations visualization.
View Projectflfp
January 29, 2025 – April 7, 2025
Code Artifacts for the USENIX' 25 Paper "Double-Edged Shield: On the Fingerprintability of Customized Ad Blockers"
View Projectsinbad
March 18, 2024 – March 22, 2024
SINBAD: Saliency-informed detection of breakage caused by ad blocking
View Projectpy-exp-template
February 19, 2024 – February 19, 2024
py-exp-template — GitHub repository
View Projectnmap-attack-classifier
November 6, 2022 – November 30, 2022
nmap-attack-classifier — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on academic and research-oriented topics, particularly in web security and data analysis. This aligns well with roles requiring analytical rigor and independent research. However, the projects are all personal, and there is no information on team collaboration or contributions to open-source projects, which limits the assessment of cultural fit in a collaborative corporate environment. The target role is Data Scientist, which aligns with the technical skills demonstrated in projects.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's experience level is listed as 0, but they have a current Data Scientist role starting in 2026, which is inconsistent. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.