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
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MSc in Applied Mathematics, 2016
University of Oxford
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BSc in Physics, 2015
University of Heidelberg
Experience
Applied Scientist
Development of high-dimensional time series models based on deep neural networks that are used for algorithmic price optimisation.
Research Intern
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.
(2022).
A Network Approach to Atomic Spectra.
arXiv.
(2018).
Wave propagation across interfaces induced by different interaction exponents in ordered and disordered Hertz-like granular chains.
Physica D: Nonlinear Phenomena.
(2016).
Solitary wave propagation across interfaces in 1D granular crystals.
Master’s Thesis.
(2016).
Interaction Enhanced Imaging of Rydberg P states - Preparation and detection of Rydberg atoms for engineering long-range interactions.
Eur. Phys. J. Special Topics.