基本信息
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职业迁徙
个人简介
My research interests are in particle physics, machine learning, statistics, open science, cyberinfrastructure, and science communication to the broader public.
I am primarily an experimental particle physicist working on the ATLAS experiment at the LHC, though my interests are quite broad. Early in my education I had a difficult time choosing between theoretical and experimental physics, and I decided to focus on the interface with a heavy emphasis on analysis techniques, statistical methodology, and cyberinfrastructure. I try to keep abreast of current thinking in theoretical physics to ensure that the results from the large experiments are relevant and impactful. At the same time, I like to keep the experimental program cleanly factorized from theoretical bias. Thus a theme of much of my work has been to establish the analysis strategy, statistical techniques, and cyberinfrastrure so that the experiments can provide powerful, interpretable tests for a wide range of theories.
Recently, I've been particularly interested in inference in the context of intractable likelihoods, development of machine learning models imbued with physics knowledge, use of adversarial training for robustness to systematic uncertainty, the use of generative models in the physical sciences, and integration of reproducible workflows in the inference pipeline.
I am primarily an experimental particle physicist working on the ATLAS experiment at the LHC, though my interests are quite broad. Early in my education I had a difficult time choosing between theoretical and experimental physics, and I decided to focus on the interface with a heavy emphasis on analysis techniques, statistical methodology, and cyberinfrastructure. I try to keep abreast of current thinking in theoretical physics to ensure that the results from the large experiments are relevant and impactful. At the same time, I like to keep the experimental program cleanly factorized from theoretical bias. Thus a theme of much of my work has been to establish the analysis strategy, statistical techniques, and cyberinfrastrure so that the experiments can provide powerful, interpretable tests for a wide range of theories.
Recently, I've been particularly interested in inference in the context of intractable likelihoods, development of machine learning models imbued with physics knowledge, use of adversarial training for robustness to systematic uncertainty, the use of generative models in the physical sciences, and integration of reproducible workflows in the inference pipeline.
研究兴趣
论文共 583 篇作者统计合作学者相似作者
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Machine Learning Science and Technology (2024)
26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS, CHEP 2023 (2024)
Nick Smith, Daniel Spitzbart,Jennet Dickinson, Jon Wilson,Lindsey Gray,Kelci Mohrman, Saptaparna Bhattacharya,Andrea Piccinelli, Titas Roy,Garyfallia Paspalaki, Duarte Fontes, Adam Martin,William Shepherd, Sergio Sánchez Cruz,Dorival Goncalves,Andrei Gritsan,Harrison Prosper, Tom Junk,Kyle Cranmer,Michael Peskin,Andrew Gilbert,Jonathon Langford,Frank Petriello, Luca Mantani,Andrew Wightman, Charlotte Knight, Prasanth Shyamsundar, Aashwin Basnet,Giacomo Boldrini,Kevin Lannon
arxiv(2024)
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Shoji Asai, Amalia Ballarino,Tulika Bose,Kyle Cranmer,Francis-Yan Cyr-Racine,Sarah Demers,Cameron Geddes,Yuri Gershtein,Karsten Heeger,Beate Heinemann,JoAnne Hewett,Patrick Huber,Kendall Mahn,Rachel Mandelbaum,Jelena Maricic,Petra Merkel,Christopher Monahan,Hitoshi Murayama,Peter Onyisi, Mark Palmer,Tor Raubenheimer,Mayly Sanchez,Richard Schnee,Sally Seidel, Seon-Hee Seo, Jesse Thaler, Christos Touramanis,Abigail Vieregg,Amanda Weinstein,Lindley Winslow,Tien-Tien Yu,Robert Zwaska
crossref(2024)
MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 3 (2024)
NATURE REVIEWS PHYSICSno. 9 (2023): 526-535
Anja Butter,Tilman Plehn,Steffen Schumann,Simon Badger,Sascha Caron,Kyle Cranmer,Francesco Armando Di Bello,Etienne Dreyer,Stefano Forte,Sanmay Ganguly,Dorival Goncalves,Eilam Gross,Theo Heimel,Gudrun Heinrich,Lukas Heinrich,Alexander Held,Stefan Hoche,Jessica N. Howard,Philip Ilten,Joshua Isaacson,Timo Janssen, Stefan Jones,Marumi Kado,Michael Kagan,Gregor Kasieczka,Felix Kling,Sabine Kraml,Claudius Krause,Frank Krauss,Kevin Kroeninger,Rahool Kumar Barman,Michel Luchmann,Vitaly Magerya,Daniel Maitre,Bogdan Malaescu,Fabio Maltoni,Till Martini,Olivier Mattelaer,Benjamin Nachman,Sebastian Pitz,Juan Rojo,Matthew Schwartz,David Shih,Frank Siegert,Roy Stegeman,Bob Stienen,Jesse Thaler,Rob Verheyen,Daniel Whiteson,Ramon Winerhalder,Jure Zupan
SCIPOST PHYSICSno. 4 (2023)
arXiv (Cornell University) (2023)
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作者统计
#Papers: 584
#Citation: 48224
H-Index: 97
G-Index: 208
Sociability: 11
Diversity: 2
Activity: 96
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