Talks

How to (try to)?solve quantum many-body problems -- Perimeter colloquium, March 2023

Insights into quantum many body systems through Hamiltonian reconstruction -- talk at the Hamburg CUI conference 2022

Short summary of my thesis work at the MCQST conference 2022

Tackling old problems with new tools: frum frustration to pairing -- talk at Perimeter Institute, Oct 2022

Getting the most out of your measurements -- talk at Perimeter Institute Feb 2022

Strong pairing in bilayer antiferromagnetic Mott insulators -- Quantum Theory Seminar at Cornell University, Oct 2021

3 minute summary of my thesis -- Quantum Future Award Pitch 2021 (my pitch starts at 43:59)

Quantum gas microscopy & machine learning -- invited talk at QTML, Nov 2020

Probing dynamics in quantum simulators -- Quantum Chaos seminar series, Oct 2020

"How to find and probe pairs in doped quantum antiferromagnets" -- Korrelationstage Dresden 2023

"Pairing in the Fermi-Hubbard model and its relatives" -- BEC conference, San Feliu 2023

"Pairing in the t-J model and its relatives" -- Next Generation in strongly correlated electron systems, Lido di Fermo 2023

"Neural quantum states for strongly correlated systems: learning from data and Hamiltonians" -- MCQST conference 2023

"Machine learning for quantum data" --?Spring School on Open-Source Tools for Quantum Computing & Simulation at ICFO 2023

“Insights into quantum many-body systems through Hamiltonian reconstruction” -- invited talk at the CUI conference on machine learning & science, Hamburg 2022

“A new perspective on pairing in quantum antiferromagnets” -- invited talk at the GRS on quantum science, Stonehill College 2022

“Active learning for quantum state tomography & some new results on pairing in the t-J model” -- invited talk at the GRC on correlated electron systems, Holyokee College 2022

"Strong pairing in bilayer antiferromagnetic Mott insulators" -- invited talk at APS DAMOP 2022

"One, two, many holes: new insights into the doped Fermi-Hubbard model" -- APS DAMOP, Deborah Jin Award for Outstanding Thesis Research in AMO Research Session, May 2022

"Spectroscopic probes for doped quantum magnets - new directions" -- invited talk at APS March Meeting 2022

"New insights into the Fermi-Hubbard model in and out-of equilibrium" -- DPG Symposium SAMOP Dissertation Prize 2022

"Tackling quantum many-body problems with artificial intelligence" -- IAS Symposium, Technical University Munich, Jan 2022

"Strong pairing in mixed dimensional bilayer antiferromagnetic Mott insulators" -- Hamburg Theoretical Physics Symposium, Nov 2021

"Quantum gas microscopy and machine learning" -- Quantum Techniques in Machine Learning, Nov 2020

"String patterns and machine learning: Probing the Fermi-Hubbard model with cold atoms" -- APS DAMOP, Jun 2020

"Classifying snapshots of the doped Fermi-Hubbard model with machine learning" -- APS March Meeting, Mar 2020

"New probes of the Fermi-Hubbard model" -- Korrelationstage Dresden, Sept 2019

"Neural quantum states for strongly correlated systems: learning from data & Hamiltonians" -- ULB Brussels, Jan 2024

"Insights into quantum many-body systems through quantum simulation and Hamiltonian reconstruction" -- FAU Erlangen, Oct 2023

"Interpretable neural network architectures and their application to quantum many-body systems" -- USM (Universit?ts-Sternwarte) LMU, June 2023

"A guided tour through the Fermi-Hubbard model and its relatives via snapshots" -- University of Bonn, May 2023

"How to (try to) solve quantum many-body problems" -- Perimeter Institute, Mar 2023

"Looking for fluctuations: unsupervised, interpretable machine learning analysis of Heisenberg data" -- ETH Zurich, Mar 2023

"Insights into quantum many-body systems through quantum simulation & Hamiltonian reconstruction" -- Augsburg University, Feb 2023

"Interplay of spin and charge: stripes, pairing and frustration" -- Oxford University, England, Nov 2022

"Tackling quantum many-body problems with (artificial) intelligence -- ETH Zürich, Oct 2022

"Tackling old problems with new tools: from frustration to pairing in strongly correlated many body systems” -- Perimeter Institute, Oct 2022

"Active and machine learning for quantum data" -- Pritzker School of Molecular Engineering, UChicago, May 2022

"Getting the most out of your measurements: neural networks and active learning" -- Electrical and Computer Engineering Seminar, Princeton University, Mar 2022

"Getting the most out of your measurements: neural networks and active learning" -- Condensed matter theory & machine learning seminar, Perimeter Institute, Feb 2022

"Tackling quantum many-body problems with (artificial) intelligence -- Condensed Matter Seminar, Princeton University, Feb 2022

"Dynamical probes of strongly correlated quantum many-body systems" -- Special Seminar, Universit?t Regensburg, Jan 2022

"Tackling quantum many-body problems with (artificial) intelligence" -- Physics Colloquium, Chicago, Jan 2022

"Strong pairing in mixed dimensional bilayer antiferromagnetic Mott insulators" -- Vishwanath group seminar, Harvard, Dec 2021

"Dynamics of a single hole in a quantum antiferromagnet" -- Hafezi group seminar, Maryland/JQI, Dec 2021

"Parton dynamics and Regge trajectories of rotational meson states in strongly correlated quantum systems" -- Special seminar, University of Warsaw, April 2021

"Higher order correlations in doped quantum antiferromagnets" -- Cirac group seminar, MPQ, March 2021

"Rotational resonances and Regge trajectories in lightly doped antiferromagnets" -- Sachdev group seminar, Harvard, Feb 2021

"Hole dynamics and ARPES spectra in quantum antiferromagnets" -- Demler group seminar, Harvard, Nov 2019

"Probing the Fermi-Hubbard model with ultracold atoms: equilibrium and dynamics" -- Condensed matter theory seminar, LMU München, Oct 2019