Outreach

This page presents my attempts at scientific outreach. Enjoy!

Selected talks
Teaching
Other resources

Selected talks

Towards interpretable and reliable machines learning physics – invited talk

Americal Physical Society March Meeting, Chicago,
USA (14-18 March 2022)

Magnetic and electric properties of ultracold molecular systems of increasing complexity – talk

Quantum Optics X, Toruń, Poland (6-10 September 2021) 

Unsupervised machine learning of topological phase transitions from experimental data – seminar

Faculty of Physics, Univ. of Warsaw, Poland (13 January 2022)

Two interacting ultracold molecules in a trap: magnetic properties and quench dynamics – seminar

Faculty of Physics, Univ. of Warsaw, Poland (12 December 2020)

Can a learning machine teach us physics? – talk

ML in PL, Warsaw, Poland (22-25 November 2019)

Teaching

Machine learning for quantum and classical systems

For the MSc in Quantum Science and Technologies program in Barcelona (with Borja Requena, Alexandre Dauphin, Gabriel Fernández Fernández, and Korbinian Kottmann)

Wprowadzenie do uczenia maszynowego

Lecture during a session for PhD students “Artificial and natural intelligence”

Machine learning and neural networks

Machine learning and neural networks at the Faculty of Physics, University of Warsaw (three consecutive winter semesters 2019-2021, as a teaching assistant)

Other resources

“Modern applications of machine learning in quantum sciences“

our book “Modern applications of machine learning in quantum sciences” with figures and tex files available at this (LINK: https://github.com/Shmoo137/Lecture-Notes) repository

My PhD thesis titled “Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning”

website of a Summer School: Machine Learning in Quantum Physics and Chemistry

website of a Summer School: Machine Learning in Quantum Physics and Chemistry (24 Aug – 3 Sept 2021, Warsaw) with recorded talks and tutorials

#MLforQuantumWarsaw