Currently
Working at GSK.ai on drug discovery, since 2021.
I apply machine learning to abundant omics data. My mission is to build a computational platform for fast, accurate, and interpretable identification of disease-relevant genetic targets.
Previously
- [2017-2021] Obtained AI/ML-focused PhD from ETH Zürich with Prof. Joachim. M. Buhmann. During my time at ETH, I collaborated with Swiss AI lab IDSIA led by Prof. Jürgen Schmidhuber and with the Max Planck Institute for Intelligent Systems led by Prof. Bernhard Schölkopf.
- [2016-2017] Interned in Logitech – applied AI/ML to user profiling.
- [2015-2016] Worked in Disney Research on signal processing in robotics.
- [2013-2016] MS from ETH Zürich, in computer science.
- [2009-2013] BS from the University of Belgrade, in computer science.
Interests
- Problem-oriented R&D of AI/ML methodology; especially large-scale and deep learning.
- Meticulous, viable, clean, re-usable software development – I expect engineering to be of central importance in most major advances that are yet to come in AI/ML.
- Applications of AI/ML to healthcare and biology.
- Organizing and taking large projects from concept to working system.