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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Princeton University | ||
name: Adrian Alan Pol | ||
photo: "/assets/images/team/Adrian-Alan-Pol.jpg" | ||
github-username: AdrianAlan | ||
orcid: 0000-0002-9034-0230 | ||
linkedin-profile: https://www.linkedin.com/in/adrianalanpol/ | ||
title: > | ||
Machine Learning Postdoctoral Research Associate, Princeton University | ||
website: https://adrianalan.me/ | ||
logos: | ||
- /assets/images/codas-hep/logos/Princeton_logo.png | ||
- /assets/images/codas-hep/logos/CERN_logo.png | ||
- /assets/images/codas-hep/logos/CMS.jpg | ||
--- | ||
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### My research: | ||
Machine learning and its applications to hardware trigger at CMS | ||
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### My expertise is: | ||
Anomaly detection, model compression | ||
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### A problem I'm grappling with: | ||
How to trigger on new physics, deep learning in latency-constraint hardware | ||
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### I've got my eyes on: | ||
arxiv | ||
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### I want to know more about: | ||
HPC, computing for HEP |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Princeton University | ||
name: Ioana Ifirm | ||
photo: "/assets/images/team/Ioana-Ifrim.jpg" | ||
github-username: ioanaif | ||
linkedin-profile: "https://uk.linkedin.com/in/ioana-ifrim-918289116" | ||
orcid: 0000-0002-6932-1385 | ||
title: Research Software Engineer, Princeton University | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/Princeton_logo.png | ||
- /assets/images/codas-hep/logos/Iris-hep-logo.png | ||
- /assets/logos/skhep-logo.svg | ||
- /assets/logos/awkward.svg | ||
- /assets/logos/uproot.svg | ||
--- | ||
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## My research: | ||
Uproot, Awkward Array, xeus-cpp | ||
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## My expertise is: | ||
Python, C++, ML | ||
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## A problem I'm grappling with: | ||
Feature expansion for Uproot | ||
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## I've got my eyes on: | ||
Columnar analysis | ||
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## I want to know more about: | ||
HEP applications ecosystem and their users needs |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Princeton University | ||
name: Jim Pivarski | ||
photo: "/assets/images/team/Jim-Pivarski.jpg" | ||
github-username: jpivarski | ||
linkedin-profile: "https://www.linkedin.com/in/james-pivarski-19a17310" | ||
orcid: 0000-0002-6649-343X | ||
title: Research Physicist, Princeton University | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/CMS.jpg | ||
- /assets/images/codas-hep/logos/Iris-hep-logo.png | ||
- /assets/logos/skhep-logo.svg | ||
- /assets/logos/awkward.svg | ||
- /assets/logos/uproot.svg | ||
- /assets/logos/vector-logo.png | ||
--- | ||
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## My research: | ||
Growing the Pythonic HEP ecosystem, particularly as lead developer of Uproot and Awkward Array. | ||
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## My expertise is: | ||
Python, vertical scaling, array-oriented programming. | ||
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## A problem I'm grappling with: | ||
Involving more people in scientific Python, both as users and developers, bridging Awkward Array with everything, including ROOT and RDataFrame, generalizing its applicability beyond HEP. | ||
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## I've got my eyes on: | ||
Julia, portable GPU programming, Arrow, Parquet, Zarr. | ||
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## I want to know more about: | ||
What everyone else is working on/thinking about… the direction of HEP analysis software today. |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Princeton University | ||
name: Peter Elmer | ||
photo: "/assets/images/team/Peter-Elmer.jpg" | ||
github-username: pelmer | ||
orcid: 0000-0001-6830-3356 | ||
linkedin-profile: https://ch.linkedin.com/in/peter-elmer-75b27964 | ||
title: > | ||
Senior Research Physicist, Princeton University | ||
Executive Director and Lead PI for the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) | ||
website: https://scholar.princeton.edu/elmer/home | ||
logos: | ||
- /assets/images/codas-hep/logos/Princeton_logo.png | ||
- /assets/images/codas-hep/logos/CERN_logo.png | ||
- /assets/images/codas-hep/logos/CMS.jpg | ||
- /assets/images/codas-hep/logos/Iris-hep-logo.png | ||
--- | ||
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### My research: | ||
The CMS Experiment at CERN, as well as the R&D to prepare the software and computing systems required to operate and produce scientific results from the HL-LHC and other HEP experiments in the 2020s. | ||
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### My expertise is: | ||
High Energy Physics (HEP) software and computing, large software/computing projects | ||
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### A problem I'm grappling with: | ||
Recognizing echo chamber effects in our thinking and organizations, and finding ways to create more dynamic and sustainable research software collaborations to address our challenges. | ||
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### I've got my eyes on: | ||
HEP software challenges in the 2020s... | ||
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### I want to know more about: | ||
Places where HEP problems overlap with the larger research community; ideas and prior experience which show how we might collaborate on those problems.<br> |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Cornell University | ||
name: Steve Lantz | ||
photo: "/assets/images/codas-hep/2023/Steve-Lantz.jpg" | ||
github-username: srlantz | ||
linkedin-profile: | ||
orcid: | ||
title: Senior Research Associate | ||
website: https://www.cac.cornell.edu/slantz | ||
logos: | ||
- /assets/images/codas-hep/logos/Cornell-CAC-logo.png | ||
- /assets/images/codas-hep/logos/Iris-hep-logo.png | ||
- /assets/images/codas-hep/logos/mkfit-graphic2.png | ||
--- | ||
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## My research: | ||
Computational research in applied physics, high performance computing | ||
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## My expertise is: | ||
HPC code optimization, parallel programming | ||
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## A problem I'm grappling with: | ||
How to introduce performance-oriented techniques into scientific codes without obscuring the science; how to get researchers to care about code quality and maintainability (software engineering) | ||
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## I've got my eyes on: | ||
Platform-(quasi)-independent parallel APIs for CPUs and GPUs; Julia | ||
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## I want to know more about: | ||
Machine learning (so I'm usually a student here as well as a presenter) |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Colorado State University | ||
name: Ana Paula Vizcaya Hernandez | ||
photo: "/assets/images/codas-hep/2023/Anapaula_Vizcaya.png" | ||
github-username: AnaVizcaya | ||
linkedin-profile: www.linkedin.com/in/ana-paula-vizcaya-hernandez-abb860211 | ||
orcid: | ||
title: Postdoctoral Fellow at Colorado State University | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/dune-logo.jpeg | ||
- /assets/images/codas-hep/logos/CSU-logo1.png | ||
- /assets/images/codas-hep/logos/KATRIN_logo.png | ||
--- | ||
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## My research: | ||
Neutrino mass with the KATRIN experiment. | ||
Neutrino oscillations with ProtoDUNE and DUNE experiments. | ||
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## My expertise is: | ||
Data analysis and databases | ||
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## A problem I'm grappling with: | ||
Exploring scalability of ProtoDUNE databases to handle DUNE data | ||
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## I've got my eyes on: | ||
Software challenges for the DUNE experiment | ||
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## I want to know more about: | ||
Machine Learning and Big Data Tools, everything! |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Brown University | ||
name: Xiaohe Shen | ||
photo: "/assets/images/codas-hep/2023/Xiaohe-Shen.png" | ||
github-username: Ari-mu-l | ||
linkedin-profile: | ||
orcid: | ||
title: Graduate Student | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/CMS.jpg | ||
- /assets/images/codas-hep/logos/Brown_Logo.jpg | ||
--- | ||
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## My research: | ||
Search for vector-like quarks in the CMS experiment | ||
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## My expertise is: | ||
Machine learning | ||
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## A problem I'm grappling with: | ||
Getting more comfortable with using HEP analysis tools. | ||
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## I've got my eyes on: | ||
Combining what I have been learning about the CMS experiment and my past knowledge on machine learning and optimization to get inspirations for improving my current analysis | ||
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## I want to know more about: | ||
Parallel computing and how other people in the HEP community do machine learning |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: UC San Diego | ||
name: Russell Marroquin | ||
photo: "/assets/images/codas-hep/2023/Russell-Marroquin.jpeg" | ||
github-username: Brainz22 | ||
linkedin-profile: https://www.linkedin.com/in/russellmarroquin060597?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3B4vC1lvNwT%2B2bITvJD2LVIw%3D%3D | ||
orcid: | ||
title: Particle Physics and Machine Learning 2nd. year PhD student | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/CMS.jpg | ||
- /assets/images/codas-hep/logos/Iris-hep-logo.png | ||
--- | ||
## My research: | ||
My research involves the development of ML hardware co-designed algorithms and their implementation on the triggering hardware of the CMS detector at the LHC. | ||
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## My expertise is: | ||
I am working to become an expert in ML, detector data acquisition systems, and HEP-inspired data analysis tools. | ||
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## A problem I'm grappling with: | ||
A problem I am grappling with is related to the deployment of a ML algorithm on a triggering device to test its performance in the context of inference, resource utilization, and latency. | ||
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## I've got my eyes on: | ||
I've got my eyes on Beyond the Standard Model searches for particles and the theories that back their existence. | ||
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## I want to know more about: | ||
I want to know more about 1) particle physics analyses and the computational tools employed to realize such analyses, 2) optimization and enhancement of ML models, and 3) detector data acquisition systems. |
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: University of Virginia | ||
name: Dayne Robert Coveyou | ||
photo: "/assets/images/codas-hep/2023/Dayne_Coveyou.jpg" | ||
github-username: D-Covey09 | ||
linkedin-profile: | ||
orcid: | ||
title: Graduate Student at the University of Virginia | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/nova_logo.png | ||
- /assets/images/codas-hep/logos/uvalogo.png | ||
--- | ||
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## My research: | ||
Using the NOvA Far Detector to search for extremely massive, highly ionizing particles: a candidate for a magnetic monopole. | ||
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## My expertise is: | ||
Primarily C++ and Python. I've been working with the standard physics data "management" tool ROOT for years and understand as little about it as the next guy. | ||
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## A problem I'm grappling with: | ||
Retrieving real and simulated data from NOvA's ART framework to do my analysis. | ||
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## I've got my eyes on: | ||
More generalized data analysis tools than ROOT in preparation for entering the private sector. | ||
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## I want to know more about: | ||
Optimization in videogames. It's a bit out of left field, but a game as complex as The Legend of Zelda: Tears of the Kingdom running on hardware effectively as powerful as a high-end smartphone fascinates me. Especially with it's robust interactive kinematic physics systems. | ||
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--- | ||
layout: codas-hep-participant | ||
e-mail: [email protected] | ||
institution: Kansas State University | ||
name: Norman Martinez | ||
photo: "/assets/images/codas-hep/2023/Norman_Martinez.jpg" | ||
github-username: Nmartin30 | ||
linkedin-profile: | ||
orcid: | ||
title: Physics Grad Student | ||
website: | ||
logos: | ||
- /assets/images/codas-hep/logos/uboone_logo.png | ||
- /assets/images/codas-hep/logos/k-state.png | ||
--- | ||
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## My research: | ||
Search for dimuon production in MicroBoone Liquid Argon Detector. | ||
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## My expertise is: | ||
Data Analysis, root, Latex. | ||
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## A problem I'm grappling with: | ||
Production of a MC sample of 10K events for a dimuon signal in MicroBoone using Genie and LArSoft. | ||
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## I've got my eyes on: | ||
MC Generators, LArSoft, BDTs and Liquid Argon detectors. | ||
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## I want to know more about: | ||
How to run LArSoft in Grids (Fermilab grid for example) in order to reduce production times of samples. |
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