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ML Scientist @AbbVie | Columbia '23 - ML x Biomed/Pharma Research - Cheminformatics - 🇫🇷 in 🇺🇸
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AbbVie
Data Scientist
June 28, 2026 – Present
reinvent4-interface
September 22, 2024 – October 1, 2024
reinvent4-interface — GitHub repository
View Projectchemvae-torch
January 1, 2024 – June 25, 2024
Pytorch implementation of ChemVAE (molecule generation framework).
View Projectmri-to-ct
January 2, 2023 – November 23, 2023
Image-to-image deep learning framework for MRI to porosity map translation
View Projectearthquake-prediction
March 16, 2022 – August 17, 2022
Deep Learning Project - Training models to predict incoming laboratory seisms based on acoustic sequences.
View Projectvortex-simulation
December 12, 2021 – August 17, 2022
Fluid Mechanics Project - Analysis of vortex emissions from an obstacle located in a 2D flow field - Karman Vortex Street
View Projectsleep-tracker
November 14, 2021 – December 13, 2021
Physiology Project - Quantification of delta wave density during sleep
View Projectmolecular-dynamics
August 17, 2021 – December 13, 2021
Computer Science Project - Simulation of gas particles with a solid sphere approximation in a 2D plane
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in scientific research and applying data science to complex problems, which aligns well with a research-oriented or innovative company culture. The breadth of projects, from genomics to fluid mechanics, suggests intellectual curiosity and adaptability. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a proactive approach to learning new technologies. The diversity of personal projects suggests self-motivation and an ability to work independently. However, without specific assessment data, it is difficult to fully evaluate communication, teamwork, and stress handling.