Philip Harris
Scholar

Philip Harris

Google Scholar ID: MC8jNSwAAAAJ
MIT
Machine LearningDark MatterHiggs bosonGravitational WavesFPGAs
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Citations & Impact
All-time
Citations
32,698
 
H-index
71
 
i10-index
150
 
Publications
20
 
Co-authors
1
list available
Contact
Emailpcharris@mit.eduTwitterOpen ↗
Publications
11 items
AI Agents Can Already Autonomously Perform Experimental High Energy Physics
2026
Cited
0
Ultrafast On-chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks
2026
Cited
0
KANELÉ: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation
2025
Cited
0
SparsePixels: Efficient Convolution for Sparse Data on FPGAs
2025
Cited
0
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
2025
Cited
0
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
2025
Cited
0
SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
2025
Cited
0
Building Machine Learning Challenges for Anomaly Detection in Science
2025
Cited
0
Resume (English only)
Research Experience
  • Associate Professor of Physics at MIT, working on particle physics experiments and nuclear physics experiments.
Education
  • PhD in Physics, MIT, 2011.
Background
  • Research Interests: Particle Physics Experiment, Nuclear Physics Experiment. Brief: Building real-time deep learning systems to search for dark matter and understand the Higgs boson.
Co-authors
1 total
Javier M. Duarte
Javier M. Duarte
Associate Professor, UC San Diego