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EPFL
Data Scientist
June 25, 2026 – Present
BUCTD
June 15, 2023 – May 23, 2024
[ICCV 2023] Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
View ProjectmaDLC_NatureMethods2022
January 13, 2022 – August 1, 2022
Repository for reproducing results in Lauer et al. 2022
View Projectml-project-1-ml_amg
October 4, 2021 – November 1, 2021
ml-project-1-ml_amg created by GitHub Classroom
View ProjectUnsupervised_detection_methods
September 28, 2021 – October 25, 2022
Unsupervised detection methods for labeling areas
View Projectfew_shot_learning
August 28, 2018 – January 31, 2019
Awesome papers in few-shot learning/one-shot learning.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on academic and research-oriented machine learning and computer vision tasks. While this demonstrates deep technical capability, the lack of diverse project types (e.g., business intelligence, A/B testing, data engineering) might indicate a narrower scope of experience for a general Data Scientist role. The single listed work experience as 'Data Scientist' at EPFL is current but lacks details, making it difficult to fully assess cultural fit beyond research-heavy environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on communication clarity, teamwork, or problem-solving approaches in a collaborative setting.