Moin!

I am a PhD Student in 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.

Fields

I research in the fields of organization design and leadership, network analysis and machine learning.

Recent Work

(With Nghi Truong, Matthew Bothner and Richard Haynes)

Download older working paper version.

Abstract:

When does a manager’s choice to activate social comparisons among employees prompt organizational growth? When should a manager instead allow employees to form aspirations and exert effort in relative autonomy, based on their own past performance? To address these

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(with Nghi Truong and Matthew Bothner)

Download current working paper version

Abstract:

We develop a novel method that integrates techniques from machine learning with canonical concepts from network

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Working paper coming soon!

Abstract:

When would members of an organization interpret a choice made by its main decisionmaker as ambiguous, important, irrelevant, surprising, or symbolic? To address this question, we develop a formal model of networks of choices. Extending research on natural language processing, these networks mirror networks of words and enable us to identify the meaning of choices, as well as the level of ambiguity surrounding these meanings.

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(with Nghi Truong and Matthew Bothner)

Working paper coming soon!

Abstract:

In the recent past, deep neural networks have revolutionized natural language processing and have since set the new state of the art in most language modeling tests. Transformer architectures, such as BERT or GPT-x have been particularly successful by generating flexible, context-aware representation of text inputs for downstream tasks. However, much less is known about how researchers can

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