The origins and acceleration mechanisms of the highest energy particles in the Universe are among the most enduring mysteries of modern physics. Studies of cosmic rays led to the birth of elementary particle physics. Over 100 years later, we use the Earth's atmosphere, Antarctic ice, and ocean water as part of our detectors to solve this century-old puzzle. Does the Standard Model hold at these extreme high energies? Could these particles be decay or annihilation products of dark matter?
During PhD I was at the University of Leeds (United Kingdom) and University of Wuppertal (Germany) to search for ultra-high energy photons using data from the Pierre Auger Observatory. Previously I was a postdoc researcher at Chiba University (Japan) and worked for the IceCube Neutrino Telescope.
I have been a co-convener of the Diffuse/Atmospheric working group in IceCube since 2021 and serving on the realtime oversight committee. My group at WIPAC works on a wide range of topics including realtime multi-messenger, Galactic plane neutrino searches, Diffuse neutrino analysis and in particular searches for >10 PeV neutrinos. In our spare time we make new sensor designs for the future IceCube-Gen2 neutrino telescope.
In 2023, I received the International Union of Pure and Applied Physics ( IUPAP ) early career award for advancing high-energy neutrino astronomy in the PeV energy range with IceCube. In 2019, I was honored with the IceCube Impact Award for leading the ICEcuBE AR project, applying spatial computing for science outreach.
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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