
Quantum Simulation PhD Student at the Technical University of Munich
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Technical University of Munich
Data Scientist
June 29, 2026 – Present
yaqs
November 6, 2024 – Present
YAQS: A Tool for Simulating Open Quantum Systems, Noisy Quantum Circuits, and Realistic Quantum Hardware
View ProjectDMRG-inspired-Algorithms-for-Neural-Network-Compression
March 13, 2020 – September 23, 2020
Application of a DMRG-inspired algorithm to compressing neural network layers into an MPS/MPO tensor network structure as well as improvements on the MPO Net by Gao
View Projectddsim
February 11, 2020 – Present
MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
View Projectdd_package
August 7, 2019 – June 15, 2023
MQT decision diagram package tailored to quantum computing
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in cutting-edge research areas like quantum computing and neural network compression, which aligns well with an innovative and research-oriented culture. The diversity of projects, from C++ simulators to Python-based machine learning applications and Kaggle participation, indicates a broad technical curiosity and willingness to explore different domains. The current role as a Data Scientist at a Technical University further supports alignment with a learning and development-focused environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.