Name: HAMLET-PHYSICS 2026 Conference
Start: 2026-08-19T06:00:00+02:00
End: 2026-08-21T20:00:00+02:00
Location: Niels Bohr Building

HAMLET-PHYSICS 2026 Conference

from Wednesday, August 19, 2026 (6:00 AM) to Friday, August 21, 2026 (8:00 PM)

Monday, August 17, 2026
Tuesday, August 18, 2026
Wednesday, August 19, 2026

8:30 AM Registration and Coffee
Registration and Coffee
8:30 AM - 9:15 AM
Room: Margrethe Bohr Salen

9:15 AM Welcome
Welcome
9:15 AM - 9:25 AM
Room: Margrethe Bohr Salen
9:25 AM Keynote: Will AI solve physics? - Daniel Whiteson
Keynote: Will AI solve physics?
- Daniel Whiteson
9:25 AM - 10:25 AM
Room: Margrethe Bohr Salen
10:25 AM Coffee
Coffee
10:25 AM - 10:50 AM
Room: Margrethe Bohr Salen
10:50 AM Plenary: Fundamental physics, inference, theory
10:50 AM - 12:30 PM
Room: Margrethe Bohr Salen
Contributions

10:50 AM Speeding up Analytic Calculations in Theoretical Particle Physics via Machine Learning - Matthias Wilhelm (NBI)

11:10 AM Normalising flows for all-orders QED corrections in lattice field theory - Nils Hermansson-Truedsson (University of Edinburgh)

11:30 AM Next-token-prediction for Arbitrary Particle Physics Tasks - Daniel Murnane (Niels Bohr Institute, University of Copenhagen)

11:50 AM Hyperparameter Transfer: A Recipe for Efficient and Robust Scaling - Gage DeZoort (Princeton University)

12:10 PM Unfolding - Quantification learning for physics applications - Lukas Liland (TU Dortmund)

12:15 PM MultiCWoLa - Johann Ioannou-Nikolaides (NBI)

12:20 PM Performance of the Boosted Decision Tree for $\pi^0$ Reconstruction in KLOE Data - Bo Cao (Department of Physics and Astronomy; Nuclear Physics, Uppsala University)

12:25 PM Enhancing Detector Alignment with Machine Learning - Stefan Cretu (Lund University)
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: Margrethe Bohr Salen
1:30 PM Keynote: Modeling protein dynamics with machine learning and molecular simulations - Cecilia Clementi
Keynote: Modeling protein dynamics with machine learning and molecular simulations
- Cecilia Clementi
1:30 PM - 2:30 PM
Room: Margrethe Bohr Salen
2:30 PM Coffee
Coffee
2:30 PM - 2:55 PM
Room: Margrethe Bohr Salen
2:55 PM Plenary: Molecules, materials, structure
2:55 PM - 4:15 PM
Room: Margrethe Bohr Salen
Contributions

2:55 PM From AI-Assisted Characterization to Autonomous Discovery of Novel Ferroelectric Materials - YAPING QI (Tohoku University)

3:15 PM Exploring hidden structure in water using polarizable atom interaction neural networks - Fredrik Grote (Department of physics, Stockholm University)

3:35 PM Predicting Magnetic Interactions from Time-Series Magnetization Data Using Explainable Machine Learning - Maryna Pankratova (Uppsala University)

3:55 PM Predicting Superconductivity using Machine Learning - Amalie Falkenberg Davidsen Frida Birkedal Nielsen Hugo Schreckenberg (University of Copenhagen) Rasmus Madsen (University of Copenhagen) Silas Billeschou Schack (University Of Copenhagen)

4:00 PM High-Throughput Discovery of Magnetic Materials:By Machine Learning and its combination with First-Principles Methods - Atefe Nayamadi Mahmoodabadi (Uppsala)

4:05 PM Gaussian sum smoothing for continuously monitored quantum systems - Julien Pinske (University of Rostock)

4:10 PM Generating pair distance distributions from SAXS data using machine learning - Ali Hussein (Niels Bohr Institute University of Copenhagen) Niklas Sørensen (Københavns Universitet)
4:15 PM Poster session and reception

4:15 PM - 6:15 PM
Room: Margrethe Bohr Salen
Thursday, August 20, 2026

9:00 AM Keynote 4: Gabriel Facini
Keynote 4: Gabriel Facini
9:00 AM - 10:00 AM
Room: Margrethe Bohr Salen

10:00 AM Coffee
Coffee
10:00 AM - 10:20 AM
Room: Margrethe Bohr Salen
10:20 AM Plenary: Experimental physics and detectors
10:20 AM - 12:05 PM
Room: Margrethe Bohr Salen
Contributions

10:20 AM Transformer-encoded normalizing flows and their application to directional reconstruction in IceCube - Thorsten Glu

10:40 AM Building foundation models with low-level collision data in particle physics - Shreya Saha (Adelaide University)

11:00 AM Model-agnostic searches for new physics with NPLM, and its reinterpretation - Jack Harrison (IFAE - Barcelona)

11:20 AM Learning Standard Model structure from LHC data with Riemannian flow matching - Kevin Urquía (University of Copenhagen)

11:40 AM Detector simulation for neural network position reconstruction in the i-RASE system - Michał Kossakowski (DTU Space) Rikke Stougaard Klausen (DTU Space)

12:00 PM Challenges of using machine learning in rare heavy-ion measurements - Ida Storehaug
12:05 PM Lunch
Lunch
12:05 PM - 1:00 PM
Room: Margrethe Bohr Salen

1:00 PM Train, conference dinner, excursion

1:00 PM - 8:00 PM
Room: Margrethe Bohr Salen
Friday, August 21, 2026
9:05 AM Flash talks: Astro, Cosmo and Sensing
9:05 AM - 9:40 AM
Room: Margrethe Bohr Salen
Contributions

9:05 AM Stellar Stream Identification with Hyperparameter Transfer GNNs - Adriana Dropulic (Niels Bohr Institute)

9:10 AM What Shapes the UV β Slope of Early Galaxies? An ML Approach to Galaxy Evolution in the Epoch of Reionization - Davey Plugers (University of Copenhagen) Zhen Xiang (University of Edinburgh)

9:15 AM Transformers for heterogeneous time series of strongly lensed supernovae - Nikki Arendse (University of Nova Gorica)

9:20 AM From Micro to Macro-World: Device-Agnostic Single-Emitter Super-Resolution Imaging using Deep Learning - Dominik Vašinka (Palacký University Olomouc)

9:25 AM Does extrinsic flux patterns support clustering by intrinsic oscillations in insect lidar? - Mikkel Brydegaard (Lund Univeristy)

9:30 AM Magnetic-field controlled perfect chirality in a on-chip coherent spin–photon interface - Shikai Liu (The Niels Bohr Institute, University of Copenhagen)

9:35 AM Outlier Detection in the BedMap Dataset - Janik Happel (NBI, KU)
9:40 AM Keynote: AI for Detector Design: From Classical Optimization to Reinforcement Learning and LLMs - Shah Rukh Qasim Shah Rukh Qasim (University of Zurich)
Keynote: AI for Detector Design: From Classical Optimization to Reinforcement Learning and LLMs
- Shah Rukh Qasim
- Shah Rukh Qasim (University of Zurich)
9:40 AM - 10:30 AM
Room: Margrethe Bohr Salen
10:30 AM Coffee
Coffee
10:30 AM - 10:55 AM
Room: Margrethe Bohr Salen
10:55 AM Plenary: Astrophysics and cosmology
10:55 AM - 12:35 PM
Room: Margrethe Bohr Salen
Contributions

10:55 AM Differentiable End-to-End Optimization of In-Ice Radio Neutrino Detectors - Martin Ravn

11:15 AM Simulation-Based Inference of High-Redshift Galaxy Environments with JWST - Ivan Nikolic (Dawn Center, University of Copenhagen)

11:35 AM Genesis-Metallicity: Non-Parametric Gas-Phase Metallicity Estimation for Galaxies Across Cosmic Time - Danial Langeroodi (University of Cambridge)

11:55 AM Multimodal Generative Modelling of the Galaxy Population with pop-cosmos - Sinan Deger (University of Cambridge)

12:15 PM Searching for Technosignatures with Machine Learning: The Breakthrough Listen LOFTS Dual-Station Radio Survey - Aaron Golden (University of Galway)
12:35 PM Lunch
Lunch
12:35 PM - 1:35 PM
Room: Margrethe Bohr Salen
1:35 PM Plenary: Climate, Earth, Environment, Sensing
1:35 PM - 2:55 PM
Room: Margrethe Bohr Salen
Contributions

1:35 PM Deterministic Collapse and Stochastic Recovery in a Data-Driven Model of the Atlantic Meridional Overturning Circulation - Qi-fan Wu

1:55 PM Transferability and application of climate emulators to produce Antarctic ice sheet surface mass balance - Clément Cherblanc (Niels Bohr Institute + Danish Meteorological Institute)

2:15 PM Interpretable Target-Aware Deep Learning: Linking Weather Patterns to Precipitation - Jonathan Ortved Melcher (University of Copenhagen, Niels Bohr Institute, Physics of Ice Climate and Earth)

2:35 PM Photonic imaging, sensing, and detection assisted by AI - Dominik Vašinka (Palacký University Olomouc)
2:55 PM Panel and Discussion
Panel and Discussion
2:55 PM - 3:45 PM
Room: Margrethe Bohr Salen

3:45 PM Outro
Outro
3:45 PM - 3:55 PM
Room: Margrethe Bohr Salen

3:55 PM Coffee, Beer, Farewell
Coffee, Beer, Farewell
3:55 PM - 4:30 PM
Room: Margrethe Bohr Salen