I'm a Data Science Consultant at Statworx.
Previously, I researched at the Berlin School of Economics / BDPEMS joint program of Humboldt University, Free University, Technical University, ESMT Berlin, WZB and DIW as a PhD Fellow at ESMT Berlin.
I am interested in Deep Learning, Graph Neural Networks, NLP, Network Science and Causality.
Research in Applied Machine Learning and Methods
Graph Embedding on Hierarchical Manifolds (WIP)
Transformers and training variance: How stable are BERT's predictions? (WIP)
Global Targets: Stable and Isotropic Embeddings in Transformer Language Models (WIP)
Unsupervised Semantic Networks (WIP)
Research in Organizational Economics and Networks
Using Semantic Networks to Identify the Meanings of Leadership
2021, with Nghi Truong and Matthew Bothner
Semantic Decision Networks
2021, with Matthew Bothner
Social Norms in Attention Networks (WIP)
with Nghi Truong, Richard Haynes and Matthew Bothner
How to Manage ‘Invisible Transitions’ in Leadership (MIT Sloan Management Review)
2021, with Nora Grasselli and Gianluca Carnabuci
Threshold Spectral Community Detection for NetworkX
A Python Package for Community Detection with NetworkX
Python RFCC - Data understanding, clustering and outlier detection for regression and classification tasks
Python Package, joint with Ebru Marquart
ESMT Leadership Transition Assistant
Cloud-based app to help define the most important challenges for your upcoming leadership transition
A Python Package for extracting (contextual) semantic similarity network from Transformer models