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AI Researcher (PhD)
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LMU Munich
Data Scientist
June 26, 2026 – Present
mixture-density-nets
March 2, 2023 – September 10, 2023
A small PyTorch library for Mixture Density Networks.
View Projectmarl-neon-grid
January 25, 2023 – September 1, 2023
A collection of multiagent reinforcement learning (MARL) gridworlds to study coordination and cooperation.
View Projectx-mappo
December 14, 2022 – December 14, 2022
Implementation of Multi-Agent Proximal Policy Optimization (MAPPO) and related algorithms with recurrent policies.
View Projectx-metaformer
December 1, 2022 – April 14, 2023
A PyTorch implementation of "MetaFormer Baselines" with optional extensions.
View Projectmetric-learning-layers
November 29, 2022 – December 14, 2022
A simple PyTorch package that includes the most common metric learning layers
View ProjecttextKGCN
August 14, 2020 – February 7, 2021
A text classification model based on textGCN and the WikiData knowledge graph
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, indicating a strong drive for self-directed learning and exploration in advanced ML/AI topics. The current role as 'Data Scientist' at LMU Munich suggests an academic or research-focused environment. This profile might be a strong cultural fit for organizations that value innovation, research, and independent problem-solving. However, the lack of team-based or industry-specific project descriptions makes it difficult to assess collaboration and business-oriented cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.