Soumi De
Scientist at Los Alamos National Laboratory
Los Alamos, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolSoumi De is a scientist at Los Alamos National Laboratory with a decade of experience applying data-driven computational methods to high-impact scientific problems. She specializes in data science, AI, uncertainty quantification, and advanced multi-physics simulations, and is proficient in Python and C++ for building publishable scientific software. Her work targets data- and compute-intensive workflows on high-performance and high-throughput architectures, enabling scalable analyses of complex systems. As a contributor to the renowned pycbc gravitational-wave toolkit, she has improved core workflows and implemented features for efficient handling of large template banks used in LIGO/Virgo analyses. Trained in physics with a PhD focus on gravitational-wave data science and computational fluid dynamics, she blends deep domain knowledge with practical software engineering. Colleagues describe her as a collaborative developer who translates rigorous research needs into robust, production-ready code.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Physics, First Class Honors, Bachelor of Science, Physics, First Class Honors at St. Xavier's College (Autonomous), KolkataPhysics, Physics at Syracuse UniversityMaster of Science, Physics, First Class, Master of Science, Physics, First Class at University of Calcutta
English, Bengali, Hindi
Github Skills (7)
hdf10
analyse10
pyc10
python10
signal-processing10
astronomy9
workflow-management9
Programming languages (3)
Github contributions (5)
gwastro/pycbc
Feb 2016 - Apr 2022
Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 1 review, 60 commits in 6 years 2 months
Contributions summary:Soumi made several significant contributions to the pycbc package, primarily focusing on enhancing its core functionalities. They addressed issues related to workflow configuration, fixing memory config overrides, and resolving collisions in the codebase. Furthermore, the user implemented a critical feature for splitting compressed template banks into smaller banks in hdf5 format, indicating a focus on data management. Additionally, they worked on updating the software version and removing arguments, which likely improved the software's functionality and its integration with other systems.
pythongwastrosignal-processingneutron-starparameters
gwastro/o2-bbh-pe
Nov 2018 - Apr 2019
Contributions:6 releases, 16 commits, 14 pushes in 5 months
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