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Mohammad Al-Tahat

New Mexico State University

Research Assistant

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Joseph Antonucci

New Jersey Institute of Technology

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ai java c++c python sql programming-best-practices cleanup version-control git github neural-networks deep-learning tensorflow compiling cuda optimization performance-tuning

Nihar Biradar

Rutgers University

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programming c++java python api github neural-networks git programming-best-practices cleanup matlab optimization memory performance-tuning

Som Bishoyi

University of Massachusetts Dartmouth

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James Chen

New York University

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c++c programming programming-best-practices python machine-learning neural-networks

Hening Cui

Columbia University

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data-analysis sas bioinformatics biology machine-learning scikit-learn neural-networks natural-language-processing programming cleanup java python r sql

Bala Desinghu

Harvard University

Rutgers University

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ACCESS CSSN, Campus Champions, CAREERS, Northeast

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proposal-request ai big-data data-analysis deep-learning dft image-processing machine-learning monte-carlo neural-networks parameter-sweeps plotting vectorization visualization random-numbers cloud-computing cloud-storage github globus s3 sftp data-management data-transfer data-sharing optimization parallelization scaling benchmarking bioinformatics molecular-dynamics natural-language-processing opencv tensorflow pytorch gaussian gromacs computational-chemistry data-science materials-science quantum-mechanics open-ondemand distributed-computing unix-environment batch-jobs pre-emption schedulers bash environment-modules git screen ssh vim professional-development proposal-development research-facilitation research-grants software-carpentry training anaconda c c++compiling conda fortran jupyterhub mathematica matlab programming python r rstudio-server scikit-learn putty vnc vpn containers dependencies docker pip podman singularity software-installation quantum-computing api job-array slurm sge pbs community-outreach

cheng fang

Rutgers univerisity

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data-analysis file-formats ai machine-learning neural-networks python r anaconda batch-jobs distributed-computing linear-programming matlab conda pip

Girish Ganesan

Rutgers University

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ai deep-learning machine-learning natural-language-processing c++python neural-networks pytorch

Paritosh Kaushik

Rensselaer Polytechnic Institute

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azure aws project-management ai big-data deep-learning machine-learning pytorch scikit-learn neural-networks api anaconda distributed-computing kubernetes docker vm unix-environment vim profiling networking

Madhukara Kekulandara

University of Rhode Island

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Denis Kornev

Harrisburg University of Science and Technology

Product Support Engineer

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data-analysis big-data ai deep-learning machine-learning scikit-learn neural-networks r python anaconda

Neil McGlohon

IBM Research

Research Scientist

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programming mpi big-data benchmarking ai machine-learning neural-networks anaconda bash distributed-computing slurm conda unix-environment

Ahamed Arafaath Muthalif Mubarak Ali

New Jersey Institute of Technology

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Stanley Nwoji

Harrisburg University of Science and Technology

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Parameshwaran Pasupathy

Rutgers, the State University of New Jersey

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Jaivik Patel

New Jersey Institute of Technology

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neural-networks natural-language-processing github git programming c c++java python sql bash openmp scripting debugging compiling software-installation xml unix-environment vim vm tensorflow

Sanguthevar Rajasekaran

University of Connecticut

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Seth Rosen

Colgate University

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Parth Shah

New Jersey Institute of Technology

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Shagesh Sridharan

Rutgers University

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data-analysis neural-networks random-numbers pytorch machine-learning c++python programming monte-carlo linear-programming

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