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.github/workflows/deploy.yml

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&& github.ref == 'refs/heads/master'
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&& github.repository == 'iris-hep/iris-hep.github.io'
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id: deployment
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uses: actions/deploy-pages@v1
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uses: actions/deploy-pages@v2

.pre-commit-config.yaml

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- id: check-yaml
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- repo: https://github.com/pre-commit/mirrors-prettier
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rev: "v3.0.0-alpha.6"
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rev: "v3.0.0"
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hooks:
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- id: prettier
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types_or: [yaml, css, scss, javascript, json]
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- repo: https://github.com/Lucas-C/pre-commit-hooks
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rev: v1.4.2
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rev: v1.5.1
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hooks:
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- id: remove-crlf
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- id: forbid-tabs
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language: fail
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- repo: https://github.com/codespell-project/codespell
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rev: v2.2.4
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rev: v2.2.5
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hooks:
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- id: codespell
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exclude: (^Gemfile.lock|\.js|\.map)$
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args:
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[
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"-L",
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"hist,sur,nd,pres,ist,ect,wan,wit,marge,admi,tunnell,parth,bu,ser,slac,gage,discus",
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"hist,sur,nd,pres,ist,ect,wan,wit,marge,admi,tunnell,parth,bu,ser,slac,gage,discus,ablet",
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]
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- repo: local

Gemfile.lock

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jekyll (>= 3.5, < 5.0)
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jekyll-feed (~> 0.9)
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jekyll-seo-tag (~> 2.1)
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nokogiri (1.13.10)
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nokogiri (1.14.3)
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mini_portile2 (~> 2.8.0)
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racc (~> 1.4)
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nokogiri (1.13.10-x86_64-darwin)
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nokogiri (1.14.3-x86_64-darwin)
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racc (~> 1.4)
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nokogiri (1.13.10-x86_64-linux)
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nokogiri (1.14.3-x86_64-linux)
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racc (~> 1.4)
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parallel (1.22.1)
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parser (3.2.1.1)
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---
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layout: codas-hep-participant
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institution: Princeton University
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name: Adrian Alan Pol
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photo: "/assets/images/team/Adrian-Alan-Pol.jpg"
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github-username: AdrianAlan
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orcid: 0000-0002-9034-0230
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linkedin-profile: https://www.linkedin.com/in/adrianalanpol/
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title: >
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Machine Learning Postdoctoral Research Associate, Princeton University
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website: https://adrianalan.me/
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logos:
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- /assets/images/codas-hep/logos/Princeton_logo.png
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- /assets/images/codas-hep/logos/CERN_logo.png
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- /assets/images/codas-hep/logos/CMS.jpg
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---
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### My research:
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Machine learning and its applications to hardware trigger at CMS
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### My expertise is:
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Anomaly detection, model compression
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### A problem I'm grappling with:
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How to trigger on new physics, deep learning in latency-constraint hardware
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### I've got my eyes on:
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arxiv
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### I want to know more about:
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HPC, computing for HEP

_codas-hep-instructors/2023/iifrim.md

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---
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layout: codas-hep-participant
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institution: Princeton University
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name: Ioana Ifirm
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photo: "/assets/images/team/Ioana-Ifrim.jpg"
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github-username: ioanaif
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linkedin-profile: "https://uk.linkedin.com/in/ioana-ifrim-918289116"
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orcid: 0000-0002-6932-1385
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title: Research Software Engineer, Princeton University
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website:
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logos:
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- /assets/images/codas-hep/logos/Princeton_logo.png
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- /assets/images/codas-hep/logos/Iris-hep-logo.png
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- /assets/logos/skhep-logo.svg
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- /assets/logos/awkward.svg
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- /assets/logos/uproot.svg
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---
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## My research:
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Uproot, Awkward Array, xeus-cpp
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## My expertise is:
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Python, C++, ML
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## A problem I'm grappling with:
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Feature expansion for Uproot
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## I've got my eyes on:
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Columnar analysis
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## I want to know more about:
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HEP applications ecosystem and their users needs
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---
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layout: codas-hep-participant
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institution: Princeton University
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name: Jim Pivarski
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photo: "/assets/images/team/Jim-Pivarski.jpg"
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github-username: jpivarski
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linkedin-profile: "https://www.linkedin.com/in/james-pivarski-19a17310"
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orcid: 0000-0002-6649-343X
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title: Research Physicist, Princeton University
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website:
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logos:
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- /assets/images/codas-hep/logos/CMS.jpg
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- /assets/images/codas-hep/logos/Iris-hep-logo.png
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- /assets/logos/skhep-logo.svg
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- /assets/logos/awkward.svg
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- /assets/logos/uproot.svg
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- /assets/logos/vector-logo.png
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---
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## My research:
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Growing the Pythonic HEP ecosystem, particularly as lead developer of Uproot and Awkward Array.
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## My expertise is:
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Python, vertical scaling, array-oriented programming.
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## A problem I'm grappling with:
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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:
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Julia, portable GPU programming, Arrow, Parquet, Zarr.
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## I want to know more about:
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What everyone else is working on/thinking about… the direction of HEP analysis software today.

_codas-hep-instructors/2023/pelmer.md

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---
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layout: codas-hep-participant
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institution: Princeton University
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name: Peter Elmer
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photo: "/assets/images/team/Peter-Elmer.jpg"
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github-username: pelmer
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orcid: 0000-0001-6830-3356
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linkedin-profile: https://ch.linkedin.com/in/peter-elmer-75b27964
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title: >
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Senior Research Physicist, Princeton University
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Executive Director and Lead PI for the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)
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website: https://scholar.princeton.edu/elmer/home
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logos:
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- /assets/images/codas-hep/logos/Princeton_logo.png
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- /assets/images/codas-hep/logos/CERN_logo.png
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- /assets/images/codas-hep/logos/CMS.jpg
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- /assets/images/codas-hep/logos/Iris-hep-logo.png
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---
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### My research:
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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:
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High Energy Physics (HEP) software and computing, large software/computing projects
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### A problem I'm grappling with:
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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:
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HEP software challenges in the 2020s...
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### I want to know more about:
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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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---
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layout: codas-hep-participant
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institution: Cornell University
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name: Steve Lantz
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photo: "/assets/images/codas-hep/2023/Steve-Lantz.jpg"
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github-username: srlantz
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linkedin-profile:
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orcid:
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title: Senior Research Associate
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website: https://www.cac.cornell.edu/slantz
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logos:
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- /assets/images/codas-hep/logos/Cornell-CAC-logo.png
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- /assets/images/codas-hep/logos/Iris-hep-logo.png
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- /assets/images/codas-hep/logos/mkfit-graphic2.png
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---
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## My research:
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Computational research in applied physics, high performance computing
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## My expertise is:
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HPC code optimization, parallel programming
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## A problem I'm grappling with:
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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:
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Platform-(quasi)-independent parallel APIs for CPUs and GPUs; Julia
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## I want to know more about:
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Machine learning (so I'm usually a student here as well as a presenter)
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---
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layout: codas-hep-participant
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institution: Colorado State University
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name: Ana Paula Vizcaya Hernandez
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photo: "/assets/images/codas-hep/2023/Anapaula_Vizcaya.png"
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github-username: AnaVizcaya
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linkedin-profile: www.linkedin.com/in/ana-paula-vizcaya-hernandez-abb860211
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orcid:
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title: Postdoctoral Fellow at Colorado State University
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website:
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logos:
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- /assets/images/codas-hep/logos/dune-logo.jpeg
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- /assets/images/codas-hep/logos/CSU-logo1.png
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- /assets/images/codas-hep/logos/KATRIN_logo.png
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---
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## My research:
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Neutrino mass with the KATRIN experiment.
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Neutrino oscillations with ProtoDUNE and DUNE experiments.
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## My expertise is:
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Data analysis and databases
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## A problem I'm grappling with:
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Exploring scalability of ProtoDUNE databases to handle DUNE data
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## I've got my eyes on:
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Software challenges for the DUNE experiment
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## I want to know more about:
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Machine Learning and Big Data Tools, everything!

_codas-hep-students/2023/Ari-mu-l.md

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---
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layout: codas-hep-participant
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institution: Brown University
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name: Xiaohe Shen
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photo: "/assets/images/codas-hep/2023/Xiaohe-Shen.png"
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github-username: Ari-mu-l
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linkedin-profile:
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orcid:
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title: Graduate Student
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website:
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logos:
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- /assets/images/codas-hep/logos/CMS.jpg
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- /assets/images/codas-hep/logos/Brown_Logo.jpg
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---
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## My research:
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Search for vector-like quarks in the CMS experiment
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## My expertise is:
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Machine learning
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## A problem I'm grappling with:
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Getting more comfortable with using HEP analysis tools.
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## I've got my eyes on:
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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:
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Parallel computing and how other people in the HEP community do machine learning

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