The origins and acceleration mechanisms of the highest-energy particles in the Universe remain among the most enduring mysteries in modern physics. Studies of cosmic rays helped establish particle physics; today, we use the Earth’s atmosphere, Antarctic ice, and ocean water as components of vast detectors to probe this frontier. Do the laws of the Standard Model hold at extreme energies? Could these particles originate from dark matter or other new physics?
During my PhD at the University of Leeds (United Kingdom) and the University of Wuppertal (Germany), I searched for ultra-high-energy photons using data from the Pierre Auger Observatory. I then joined Chiba University (Japan) as a postdoctoral researcher, working on the IceCube Neutrino Observatory.
I lead a research group at WIPAC working across high-energy neutrino astrophysics, including real-time multimessenger observations, Galactic plane searches, diffuse flux measurements, and searches for the highest-energy neutrinos. My group focuses on analysis development, including advanced simulation, reconstruction, and machine learning methods. I have also contributed to next-generation optical sensor development for IceCube-Gen2 and plan to extend this work in the future.
Within the IceCube Collaboration, I previously served as co-lead of the Diffuse/Atmospheric Working Group and continue to serve on the Realtime Oversight Committee. My research is supported by external and institutional funding, including NSF and university awards, and has been recognized by the International Union of Pure and Applied Physics (IUPAP) Early Career Scientist Prize and the IceCube Impact Award for leading the ICEcuBE AR project.
From X-ray and gamma-ray to UHE photons, they carry key information on the highest-energy sources. Difficulty: the Universe is opaque and leptonic sources dominate.
Neutrinos are weakly interacting and ideal for astronomy. My prime interests are PeV astrophysical neutrinos and EeV cosmogenic neutrinos.
A more than 100-year mystery. Charged particles bend in magnetic fields, making source identification difficult; mass composition remains uncertain.
Combining photons, neutrinos, cosmic rays, and gravitational waves offers the most promising path toward identifying the first UHE sources.
Physics-informed machine learning and generative modeling of particle showers from the Earth’s atmosphere and Antarctic ice to collider experiments.
Integrating partially contained cascades into diffuse astrophysical measurements using deep neural networks
Next-generation diffuse neutrino global-fit targeting 10 PeV and beyond
Applying Graph Neural Networks to southern sky neutrino searches and extending them beyond 100 PeV,
plus exploring transient ultra-high-energy sources with photon candidates detected by the Pierre Auger Observatory
All-flavour neutrino searches focused on the Galactic plane and Cygnus bubble
Characterizing the astrophysical diffuse spectrum using medium energy starting events (MESE)
Parameterizing particle shower profiles
Correlating all-flavour neutrinos with >100 TeV photons detected by LHAASO
Parameterizing in-ice muon flux
Developing analytic parameterizations for photon propagation in transparent mediums
Building a real-time neutrino alert website and developing augmented reality applications
Developing hardware electronics for IceCube-Gen2
Monitoring real-time alerts and analyzing neutrino self-correlations
10-100 PeV neutrino reconstructions
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