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

Symbolic Regression on FPGAs for Fast Machine Learning Inference
Ho Fung Tsoi, Adrian Alan Pol, Vladimir Loncar, Ekaterina Govorkova, Miles D. Cranmer, Sridhara Dasu, Peter Elmer, Philip C. Harris, Isobel Ojalvo, Maurizio Pierini
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- CoRR 2023
- Readers: Everyone
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- Mach. Learn. Sci. Technol. 2022
- Readers: Everyone
Physics Community Needs, Tools, and Resources for Machine Learning
Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi et al. (1 additional authors not shown)
- 2022 (modified: 06 Jun 2022)
- CoRR 2022
- Readers: Everyone
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler et al. (27 additional authors not shown)
- 2022 (modified: 06 Jun 2022)
- Frontiers Big Data 2022
- Readers: Everyone
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris
- 2022 (modified: 12 Nov 2022)
- CoRR 2022
- Readers: Everyone
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Elham E Khoda, Dylan S. Rankin, Rafael Teixeira de Lima, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos et al. (4 additional authors not shown)
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
FAIR AI Models in High Energy Physics
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Data Science and Machine Learning in Education
Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais et al. (3 additional authors not shown)
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
GPU coprocessors as a service for deep learning inference in high energy physics
Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Dylan S. Rankin, Natchanon Suaysom, Matt Trahms, Nhan Tran
- 2021 (modified: 06 Jun 2022)
- Mach. Learn. Sci. Technol. 2021
- Readers: Everyone

View all 28 publications

Co-Authors

View all 216 co-authors