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Headshot of Bala Desinghu CV / Resume Contact

Bala Desinghu

Harvard University

mentor, researcher/educator, research computing facilitator, cssn, Consultant

HPC Experience

With over 15 years of dedicated experience, I have been actively supporting research computing and data science across a wide range of platforms, including HPC, Cloud, and Grid systems.

Interests

affinity-group
ai
allocations-proposal
amber
anaconda
archiving
backup
bash
batch-jobs
benchmarking
big-data
bioinformatics
biology
c
c++
cilogon
cloud-computing
cloud-storage
cluster-support
community-outreach
compiling
computational-chemistry
conda
containers
core-hours
cp2k
cpu-bound
cyverse
data-analysis
data-management-software
data-science
data-security
data-sharing
data-transfer
deep-learning
dependencies
dft
distributed-computing
docker
documentation
environment-modules
fastx
fortran
gamess
gaussian
gcc
git
github
github-pages
globus
gromacs
image-processing
job-array
job-submission
jupyterhub
lammps
machine-learning
materials-science
mathematica
matlab
memory
modules
molecular-dynamics
monte-carlo
namd
natural-language-processing
neural-networks
open-ondemand
open-storage-network
opencv
optimization
parallelization
parameter-sweeps
pbs
pip
plotting
podman
pre-emption
professional-development
programming
project-management
proposal-development
proposal-request
pthreads
python
pytorch
quantum-mechanics
r
random-numbers
reporting
research-facilitation
research-grants
rstudio-server
s3
scaling
schedulers
science-gateway
scikit-learn
scratch
screen
scripting
sftp
sge
singularity
slurm
software-carpentry
software-installation
ssh
tcp
tensorflow
training
unix-environment
vectorization
version-control
vim
visualization
vnc
vpn
workflow
workforce-development

Skills

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

Affinity Groups

hpc.social
ACES
Small Scale Research Computing Groups
Quantum Computing
Large Data Sets
Cloud Computing
ACCESS Support
R for HPC
CSSN (Computational Science Support Network)
NSF Cyberinfrastructure Professionals
DELTA
AI Institutes Cyberinfrastructure
Bridges-2
Pegasus
Jetstream-2
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CCMNet was developed in response to the NSF RCN:CIP solicitation and is funded by NSF Award #2227656. These efforts bring novel structure and consistency to the development of the CIP workforce, enabling a more advanced CIP workforce better able to support today’s research needs, while anticipating future needs.


What is a CIP? CI Professionals is a term developed by the National Science Foundation (NSF). See Transforming Science through Cyberinfrastructure.

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