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Feseha Abebe-Akele
Feseha Abebe-Akele
Elizabeth City State University
Assistant Professor
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  • generative-ai
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Mohsen Ahmadkhani
Mohsen Ahmadkhani
South Dakota State University
HPC Software Development Engineer
  • ai
  • deep-learning
  • computer-vision
  • machine-learning
  • neural-networks
  • supervised-learning
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Mohammad Al-Tahat
New Mexico State University
Research Assistant
  • deep-learning
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  • data-analysis
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Izzat Alsmadi
Texas A&M University-San Antonio
  • ai
  • llm
  • generative-ai
  • deep-learning
  • machine-learning
  • nlp
  • neural-networks
  • data-analysis
  • linear-programming
  • ACCESS
Dr.Anas Alsobeh
Anas Alsobeh
Southern Illinois University, Carbondale
Assistant Professor
  • ai
  • cognitive-bias
  • generative-ai
  • llm
  • machine-learning
  • deep-learning
  • computer-vision
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  • nlp
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  • tensorflow
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  • opencv
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Dr. Nabeel Alzahrani
California State University-San Bernardino
Adjunct Professor of Computer Science and Engineering
  • ai
  • deep-learning
  • generative-ai
  • llm
  • machine-learning
  • NAIRR-pilot
  • neural-networks
  • nlp
  • reinforcement-learning
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  • ACCESS
  • delta
  • expanse
  • abstract
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  • community-outreach
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  • research-facilitation
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  • training
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  • jupyterhub
  • python
  • artificial-intelligence
  • computer-science
  • data-science
  • cybersecurity
  • containers
  • api
  • pytorch
  • os
  • publication-database
  • data-analysis
  • cloud-computing
  • data-reproducibility
  • debugging
  • hpc-getting-started
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Rebecca Belshe
Arizona State University
  • documentation
  • tickets
  • reporting
  • proposal-request
  • errors
  • ai
  • plotting
  • vectorization
  • visualization
  • parameter-sweeps
  • big-data
  • computer-graphics
  • data-analysis
  • globus
  • github-pages
  • github
  • file-transfer
  • data-sharing
  • data-transfer
  • data-wrangling
  • benchmarking
  • checkpoint
  • debugging
  • memory
  • optimization
  • parallelization
  • performance-tuning
  • profiling
  • scaling
  • pytorch
  • tensorflow
  • open-ondemand
  • science-gateway
  • xdmod
  • cluster
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  • gpu
  • distributed-computing
  • htc
  • nvidia
  • bash
  • cleanup
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  • git
  • modules
  • scripting
  • ssh
  • tmux
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  • vm
  • ACCESS
  • ACCESS-account
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  • abstract
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  • xsede
  • anaconda
  • c
  • c++
  • compiling
  • conda
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  • r
  • matlab
  • sas
  • rstudio-server
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  • stata
  • batch-jobs
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  • slurm
  • scheduling
  • schedulers
  • resources
  • data-science
  • psychology
  • oceanography
  • dependencies
Data Science Fellows photo
Alex R Bigelow
University of Arizona
Data visualization, knowledge graph consultant
  • big-data
  • computer-graphics
  • data-analysis
  • visualization
  • github
  • github-pages
  • data-wrangling
  • database
  • data-management
  • data
  • jekyll
  • unix-environment
  • git
  • bash
  • c
  • css
  • gui
  • html
  • javascript
  • python
  • react
  • sql
  • programming
  • computer-science
  • data-science
  • psychology
  • bioinformatics
  • arts
  • docker
  • containers
  • pip
image of Katia Bulekova
Katia Bulekova
Boston University
Manager of Scientific Programming and Applications
  • big-data
  • data-wrangling
  • r
  • c++
  • programming-best-practices
  • batch-jobs
  • cuda
  • data-analysis
  • git
  • c
  • fortran
  • hadoop
  • open-ondemand
  • sge
  • gcc
  • profiling
  • parallelization
  • optimization
  • benchmarking
  • performance-tuning
  • nvidia
  • gpu
  • slurm
  • job-submission
  • job-array
  • modules
  • permissions
  • workforce-development
  • sas
  • training
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Laura Christopherson
Renaissance Computing Institute
  • data-analysis
  • data-lifecycle
  • data-wrangling
  • community-outreach
  • project-management
  • training
  • workforce-development
  • natural-language-processing
  • research-facilitation
  • anaconda
Luis Cueva Parra
Luis Cueva Parra
High Point University
Associate Professor
  • machine-learning
  • supervised-learning
  • visualization
  • monte-carlo
  • linear-programming
  • data-analysis
  • vim
  • scripting
  • campus-champions
  • openmp
  • openmpi
  • computer-science
  • mathematics
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Denise Davis
University of South Carolina
Clinical Assistant Professor
  • data
  • data-wrangling
  • workflow
  • data-reproducibility
  • data-provenance
  • data-lifecycle
  • benchmarking
  • debugging
  • optimization
  • tuning
  • sql
  • javascript
  • scaling
  • memory
  • database
  • big-data
  • data-analysis
Jacob Fosso Tande
Jacob Fosso Tande
North Carolina State University
Computational Scientist
  • sciencedmz
  • data-transfer
  • github
  • jekyll
  • research-facilitation
  • training
  • version-control
  • community-outreach
  • dft
  • computational-chemistry
  • gaussian
  • quantum-mechanics
  • fortran
  • git
  • bash
  • c++
  • python
  • scripting
  • azure
  • cluster-support
  • file-transfer
  • globus
  • compiling
  • software-installation
  • debugging
  • dependencies
  • jupyterhub
  • kubernetes
  • administering-hpc
  • NAIRR-pilot
  • linear-programming
  • data-analysis
  • big-data
  • image-processing
  • aws
  • cloud-computing
  • cloudlab
  • cloud
  • cloud-commercial
  • data-lifecycle
  • data-management
  • data-sharing
  • data-reproducibility
  • data-provenance
  • data-management-software
  • database
  • github-pages
  • workflow
  • storage
  • s3
  • quota
  • metadata
  • memory
  • IO-issue
  • profiling
  • performance-tuning
  • benchmarking
  • cpu-bound
  • hpc-storage
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  • dtn
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  • campus-champions
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  • software-carpentry
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  • programming
  • lsf
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  • job-sizing
  • resources
  • chemistry
  • data-compliance
  • containers
  • pip
  • singularity
  • interactive-mode
  • library-paths
  • lmod
  • docker
A headshot of Craig Gross
Craig Gross
Michigan State University
  • data-analysis
  • machine-learning
  • vectorization
  • github
  • workflow
  • parallelization
  • scripting
  • data-science
  • open-ondemand
  • slurm
  • bash
  • git
  • tmux
  • vim
  • modules
  • software-carpentry
  • training
  • c
  • c++
  • conda
  • java
  • mathematica
  • matlab
  • openmp
  • python
  • r
  • scikit-learn
  • programming
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Russell Hofmann
Internet2
  • data-analysis
  • machine-learning
  • dft
  • scaling
  • pytorch
  • gromacs
  • gaussian
  • molecular-dynamics
  • computational-chemistry
  • data-science
  • genomics
  • research-facilitation
  • python
  • spark
  • spack
  • kubernetes
  • training
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Abrar Hossain
University of Toledo
  • reinforcement-learning
  • deep-learning
  • generative-ai
  • llm
  • machine-learning
  • NAIRR-pilot
  • neural-networks
  • data-analysis
  • monte-carlo
  • linear-programming
  • random-numbers
  • parameter-sweeps
  • cloud-commercial
  • bash
  • git
  • ACCESS
  • ACCESS-allocations
  • delta
  • DeltaAI
  • python
  • r
  • jupyterhub
  • matlab
  • c
  • batch-jobs
  • slurm
  • artificial-intelligence
  • economics
  • computer-science
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Abdullah Al Maruf
  • ai
  • neural-networks
  • reinforcement-learning
  • unsupervised-learning
  • deep-learning
  • machine-learning
  • llm
  • generative-ai
  • supervised-learning
  • azure
  • cloud-computing
  • openmp
  • quantum-computing
  • quantum-mechanics
  • materials-science
  • condensed-matter
  • computational-chemistry
  • artificial-intelligence
  • data-science
  • pip
  • docker
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  • dependencies
  • interactive-mode
  • mpi
  • c++
  • c
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  • ACCESS
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  • molecular-dynamics
  • cp2k
  • comsol
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  • openfoam
  • tensorflow
  • natural-language-processing
  • gaussian
  • lammps
  • fluid-dynamics
  • data-wrangling
  • dft
  • finite-element-analysis
  • visualization
  • data-analysis
  • nlp
  • api
  • ase
  • git
  • scikit-learn
  • python
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Jeho Park
Claremont McKenna College
  • machine-learning
  • big-data
  • data-analysis
  • gis
  • benchmarking
  • parallelization
  • open-ondemand
  • cluster
  • cluster-support
  • distributed-computing
  • hpc-arch-and-perf
  • bash
  • git
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  • ACCESS
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  • TAMU
  • campus-champions
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  • xsede
  • c
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  • mpi
  • openmp
  • openmpi
  • programming
  • python
  • r
  • rstudio-server
  • sql
  • batch-jobs
  • job-submission
  • computer-science
  • data-science
  • mathematics
  • social-sciences
  • statistics
  • humanities
  • data-security
  • putty
  • rdp
  • vnc
  • vpn
  • pip
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Iman Rahbari
University of Southern California
  • data-analysis
  • machine-learning
  • fluid-dynamics
  • comsol
  • openfoam
  • paraview
  • tensorflow
  • bash
  • modules
  • ssh
  • fortran
  • python
  • openmpi
  • scikit-learn
  • matlab
  • mpi
  • singularity
  • pip
  • software-installation
  • rdp
  • vnc
A bearded man with glasses wearing a grey hat
Eric Scott
University of Arizona
Scientific Programer & Educator
  • data-analysis
  • visualization
  • data-wrangling
  • github
  • parallelization
  • r
  • biology
  • chemistry
  • statistics
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Nannan Shan
Purdue University
Senior Computational Scientist
  • computational-chemistry
  • materials-science
  • gamess
  • gaussian
  • gromacs
  • lammps
  • molecular-dynamics
  • namd
  • pytorch
  • tensorflow
  • ase
  • cp2k
  • charmm
  • amber
  • documentation
  • license
  • login
  • tickets
  • authentication
  • data-analysis
  • monte-carlo
  • visualization
  • data-transfer
  • globus
  • sftp
  • benchmarking
  • checkpoint
  • scaling
  • parallelization
  • open-ondemand
  • science-gateway
  • api
  • administering-hpc
  • cluster-support
  • gpu
  • unix-environment
  • bash
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  • git
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  • ACCESS
  • anvil
  • abstract
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  • anaconda
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  • python
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  • batch-jobs
  • slurm
  • job-array
  • pbs
  • centos
  • spack
  • dft
  • pip
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Yun Shen
Boston University
Scientific Program Analyst
  • data-analysis
  • big-data
  • bioinformatics
  • genomics
  • data-science
  • programming
  • r
  • sql
  • software-installation
  • Programming
  • open-ondemand
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Liwen Shih
University of Houston-Clear Lake
  • ai
  • neural-networks
  • computer-vision
  • machine-learning
  • NAIRR-pilot
  • image-processing
  • vectorization
  • data-analysis
  • benchmarking
  • optimization
  • parallelization
  • performance-tuning
  • tuning
  • scaling
  • profiling
  • distributed-computing
  • cpu-architecture
  • configuration-automation
  • gpu
  • hardware
  • hpc-arch-and-perf
  • hpc-cluster-architecture
  • ACCESS
  • ACCESS-website
  • ACES
  • bridges-2
  • ranch
  • TAMU
  • workforce-development
  • xsede
  • training
  • scheduling
  • resources
  • artificial-intelligence
  • computer-science
  • quantum-computing
  • putty
Swabir Silayi
George Mason University
  • data-analysis
  • data-wrangling
  • data-transfer
  • stata
  • spss
  • benchmarking
  • training
  • software-carpentry
  • computational-chemistry
  • dft
  • gamess
  • gaussian
  • molecular-dynamics
  • amber
  • gromacs
  • lammps
  • namd
  • quantum-mechanics
  • machine-learning
  • pytorch
  • scikit-learn
  • materials-science
  • git
  • github
  • github-pages
  • programming
  • programming-best-practices
  • cleanup
  • c
  • c++
  • fortran
  • java
  • python
  • r
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  • xsede
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  • distributed-computing
  • environment-modules
  • lmod
  • modules
  • matlab
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  • scripting
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  • file-transfer
  • globus
  • schedulers
  • slurm
  • cuda
  • parallelization
  • vectorization
  • jupyterhub
  • mpi
  • spack
  • unix-environment
  • vim
  • sas

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