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- Daniel Beaglehole
Daniel Beaglehole
Ph.D in Computer Science and Machine Learning
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Profile
I am a third-year Ph.D student in computer science and machine learning at UCSD with Professor Mikhail Belkin. I seek to develop new technologies and theories that improve the practice of machine learning. I study the mechanisms that lead to good performance in artificial neural networks - the technology at the core of today's vision and language AI applications. I also develop alternate, non-neural approaches for machine learning problems that optimize for performance, simplicity, and interpretability.
2024 ARCS Scholars
- Hannah Battey
- Daniel Beaglehole
- Austin Carter
- Morgan Caudle
- Kayla Erler
- Wilfredo Gabriel Gonzalez Rivera
- Rayyan Gorashi
- Jonathan Gunn
- Katherine Izhikevich
- Wade Johnson
- Nishta Krishnan
- Benjamin Lam
- Araz Majnoonian
- Daniel Milshteyn
- Spencer Nelson
- Renny Ng
- Renee Oles
- Avery Pong
- Natalie Quach
- Chiaki Santiago
- Consuelo Sauceda
- Jared Simmons
- Chesson Sipling
- Lauren Valdez
- Jessica Wan