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Doctoral student, working on simulating nanoscale optoelectronics.
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ETH Zürich
Data Scientist
June 30, 2026 – Present
quatrex
August 29, 2025 – Present
Quantum Transport Simulations at the Exascale and Beyond
View Projectpycomm
February 28, 2025 – February 28, 2025
Python interface to MPI, NCCL, RCCL and GPU aware communication libraries
View Projecteurohack24_nanotcad
October 2, 2024 – October 14, 2024
eurohack24_nanotcad — GitHub repository
View ProjectMAGI
February 29, 2024 – February 12, 2025
MAGI is a many-body quantum transport simulation library based on the NEGF formalism.
View Projectdphpc_sinv
October 20, 2023 – February 2, 2024
ETH Z DPHPC course - Selected Inversion project
View Projectpv_mapping_ch
September 15, 2022 – September 19, 2022
Map the total pv power produced in Switzerland in real-time
View Projecteclabfiles
October 15, 2021 – July 2, 2024
Processing and converting of data files from BioLogic's EC-Lab.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and highly specialized in scientific computing and quantum transport. While demonstrating deep technical expertise, the lack of diverse team projects or broader industry applications makes it difficult to assess cultural fit for a typical Data Scientist role that often requires collaboration and business-oriented problem-solving. The current role at ETH Zürich as 'Data Scientist' is a positive indicator, but without further details, it's hard to gauge alignment with a general industry data science culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on complex technical challenges, which may suggest strong problem-solving and analytical skills.