Janina Hakenmueller
Department of Physics
Duke University
Interest areas: Multi-messenger Astronomy, High Energy physics, Data analysis
Postdocs
Department of Physics
Duke University
Daniel Diaz
Department of Physics
University of California San Diego
Interest areas: High Energy Physics, Hardware
Melissa Quinnan
Department of Physics
University of California San Diego
Interest areas: High Energy Physics, Hardware
Garyfallia (Lisa) Paspalaki
Department of Physics
Purdue University
Interest areas: High Energy Physics, Algorithms
Elham E Khoda
Department of Physics
University of Washington (Seattle)
Interest areas: High Energy Physics, Algorithms
Patrick McCormack
Laboratory for Nuclear Science
MIT
Interest areas: High Energy Physics, Algorithms
Dylan Rankin
Laboratory for Nuclear Science
MIT
Interest areas: High Energy Physics, Algorithms, Hardware
Muhammed Saleem Cholayil
School of Physics and Astronomy
University of Minnesota
Interest areas: Gravitational waves, Data analysis, Bayesian inference
Leo Scholl
Electrical and Computer Engineering
University of Washington
Interest areas: Neuroscience, Brain computer interfaces
Jan-Frederik Schulte
Department of Physics and Astronomy
Purdue University
Interest areas: High Energy Physics, Algorithms, Hardware
Niharika Sravan
The Division of Physics, Mathematics and Astronomy
Caltech
Interest areas: Multi-messenger Astronomy, Optimal resource allocation
Brian F Healy
School of Physics and Astronomy
University of Minnesota
Interest areas: Multi-messenger Astronomy, Machine Learning, Algorithms
Graduate Students
Hanchen Ye
Department of Electrical & Computer Engineering
University of Illinois at Urbana-Champaign
Interest areas: High-level Synthesis, Hardware Acceleration, Compiler
Raghav Kansal
Department of Physics
University of California San Diego
Interest areas: High Energy Physics, Algorithms
Farouk Mokhtar
Department of Physics
University of California San Diego
Interest areas: High Energy Physics, Algorithms
Anthony Aportela
Department of Physics
University of California San Diego
Interest areas: High Energy Physics, Hardware
Selwyn Reis Gomes
Department of Electrical & Computer Engineering
University of California San Diego
Interest areas: Machine Learning, Algorithms, Hardware
Alex Schuy
Department of Physics
University of Washington
Interest areas: High Energy Physics, Algorithms
Xiaohan Liu
Department of Electrical & Computer Engineering
University of Washington
Interest areas: Hardware, Algorithms
Jeffery Xu
Department of Electrical & Computer Engineering
University of Washington
Interest areas: Hardware, Algorithms
Seungbin Park
Weldon School of Biomedical Engineering
Purdue University
Interest areas: Brain-Computer Interface
Eric A. Moreno
Laboratory for Nuclear Science
Massachusetts Institute of Technology
Interest areas: High Energy Physics, Anomaly detection, Graph Neural Networks, Gravitational Waves
Jeffrey Krupa
Laboratory for Nuclear Science
MIT
Interest areas: High Energy Physics, Algorithms, Distributed Computing
Simon Rothman
Department of Physics
MIT
Interest areas: High Energy Physics, Machine Learning, Heterogeneous Computing
Zhijian Liu
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Interest areas: Efficient Deep Learning
SangEon Park
Department of Physics
Massachusetts Institute of Technology
Interest areas: High Energy Physics, Algorithm
Megan Lipton
Weldon School of Biomedical Engineering
Purdue University
Interest areas: Brain Computer Interfaces
Siqi Miao
Department of Computer Science
Purdue University
Interest areas: Hardware and Algorithm
Rongzhe Wei
Department of Computer Science
Purdue University
Interest areas: Machine Learning Theory
Jialiang (Tim) Zhang
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Interest areas: High Level Synthesis, Compiler
Shikun Liu
Department of Electrical and Computer Engineering
Georgia Institute of Technology
Interest areas: Algorithm
Joshua Henry Peterson
Department of Physics
University of Wisconsin-Madison
Interest areas: Multi-messenger Astrophysics, Hardware and Algorithms
Will Benoit
Department of Physics
University of Minnesota
Interest areas: Gravitational Waves, Multi-messenger Astrophysics
Andrew Toivonen
Department of Astrophysics
University of Minnesota
Interest areas: Gravitational Waves, Multi-messenger Astrophysics
Jingyuan Li
Department of Electrical and Computer Engineering
University of Washington
Interest areas: Machine Leanring, Computational Neuroscience
Gregory Jun
Department of Electrical & Computer Engineering
University of Illinois at Urbana-Champaign
Interest areas: High-level Synthesis, Hardware Acceleration, compilers
Vidhi Desai
Department of Electrical and Computer Engineering
University of Washington
Interest areas: Hardware, Algorithms
Dewen Zhong
Department of Physics
University of Illinois at Urbana-Champaign
Interest areas: High Energy Physics, Machine Learning
Jared Burleson
Department of Physics
University of Illinois at Urbana-Champaign
Interest areas: High Energy Physics, Machine Learning
Atharva Mattam
Department of Electrical and Computer Engineering
University of Washington
Interest areas: Hardware and Algorithms
Joshua Queen
Department of Physics
Duke University
Interest areas: Multi-messenger Astrophysics, High Energy Physics, Hardware and Algorithms
Ethan Marx
MIT Kavli Institute
Massachusetts Institute of Technology
Interest areas: Gravitational Wave Data Analysis, Machine Learning
Undergraduate Students
Sukanya Krishna
Department of Cognitive Science
University of California San Diego
Interest areas: High Energy Physics, Hardware, Algorithms
Aidan Yokuda
Department of Electrical & Computer Engineering
University of Washington
Interest areas: Hardware, Algorithms
Yihui Chen (Andrew)
Department of Applied Mathematics
University of Washington
Interest areas: Algorithms, Machine Learning
Benjamin Simon
Department of Physics
Purdue University
Interest areas: High Energy Physics, Algorithms
Nicolo' Ghielmetti
Department of Electronic, Information and Bioengineering
Polytechnic of Milan
Interest areas: Machine Learning, Hardware Acceleration, High Level Synthesis