Philip Harris

Associate Professor, Massachusetts Institute of Technology

Joined

September 2023

Names

Philip Harris (Preferred)

Philip C. Harris

Emails

****@mit.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Associate Professor

Massachusetts Institute of Technology (mit.edu)

2023 – Present

Assistant Professor

Massachusetts Institute of Technology (mit.edu)

2017 – 2023

Researcher

CERN (cern.ch)

2014 – 2017

Advisors, Relations & Conflicts

PhD Advisee

Dylan Sheldon Rankin

2018 – 2023

PhD Advisor

Steve Nahn

2005 – 2011

Expertise

Physics

Present

Contrastive Learning

Present

TinyML

Present

Publications

AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Samuel Bright-Thonney, Christina Reissel, Gaia Grosso, Nathaniel S. Woodward, Katya Govorkova, Andrzej Novak, Sang Eon Park, Eric A. Moreno, Philip Harris
- NeurIPS 2025 poster
- Readers: Everyone
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang et al. (80 additional authors not shown)
- CoRR 2025
- Readers: Everyone
SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression
Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip C. Harris
- Mach. Learn. Sci. Technol. 2025
- Readers: Everyone
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
Michael Kagan, Philip Harris
- OpenReview Archive Direct Upload
- Readers: Everyone
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning
Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip C. Harris
- CoRR 2024
- Readers: Everyone
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
Philip C. Harris, Michael Kagan, Jeffrey D. Krupa, Benedikt Maier, Nathaniel Woodward
- CoRR 2024
- Readers: Everyone
MACK: Mismodeling Addressed with Contrastive Knowledge
Liam Rankin Sheldon, Dylan Sheldon Rankin, Philip C. Harris
- CoRR 2024
- Readers: Everyone
A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run
Ryan Raikman, Eric A. Moreno, Katya Govorkova, Siddharth Soni, Ethan Marx, William Benoit, Alec Gunny, Deep Chatterjee, Christina Reissel, Malina Desai, Rafia Omer, Muhammed Saleem, Philip C. Harris, Erik Katsavounidis, Michael W. Coughlin, Dylan S. Rankin
- CoRR 2024
- Readers: Everyone
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
Ho Fung Tsoi, Dylan S. Rankin, Cecile Caillol, Miles D. Cranmer, Sridhara Dasu, Javier M. Duarte, Philip C. Harris, Elliot Lipeles, Vladimir Loncar
- CoRR 2024
- Readers: Everyone
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
Deep Chatterjee, Ethan Marx, William Benoit, Ravi Kumar, Malina Desai, Ekaterina Govorkova, Alec Gunny, Eric A. Moreno, Rafia Omer, Ryan Raikman, Muhammed Saleem, Shrey Aggarwal, Michael W. Coughlin, Philip C. Harris, Erik Katsavounidis
- CoRR 2024
- Readers: Everyone

View all 60 publications

Co-Authors

View all 352 co-authors