Armin Kekić

Armin Kekić

PhD Student in Causality and Machine Learning

Welcome to my website!

I’m a PhD Student at the Max Planck Institute for Intelligent Systems working on causality and machine learning. Previously I worked as an applied scientist at Zalando developing sales forecasting models that are used for algorithmic price optimisation. On this website I write about things that I find interesting and projects I work on.

Download my cv.

Interests
  • Machine Learning
  • Causality
  • Time Series Forecasting
  • Network Science
Education
  • MSc in Applied Mathematics, 2016

    University of Oxford

  • BSc in Physics, 2015

    University of Heidelberg

Experience

 
 
 
 
 
PhD Student
Sep 2021 – Present Tübingen, Germany
Working on Causality and Machine Learning.
 
 
 
 
 
Applied Scientist
Feb 2018 – Aug 2021 Berlin, Germany
Development of high-dimensional time series models based on deep neural networks that are used for algorithmic price optimisation.
 
 
 
 
 
Researcher
Mar 2017 – Jan 2018 Heidelberg, Germany
Research on spectroscopic networks.
 
 
 
 
 
Research Intern
Jul 2014 – Sep 2014 Singapore
Design of an optical set-up for Rydberg-atom imaging using electromagnetically induced transparency.

Recent Posts

Recent Publications

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(2022). On the DCI Framework for Evaluating Disentangled Representations: Extensions and Connections to Identifiability. UAI CRL 2022.

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(2022). A Network Approach to Atomic Spectra. arXiv.

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(2016). Interaction Enhanced Imaging of Rydberg P states - Preparation and detection of Rydberg atoms for engineering long-range interactions. Eur. Phys. J. Special Topics.

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