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Announce 2025 award winners
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--- | ||
layout: post | ||
title: "2025 Community Award Results" | ||
tags: [community-awards] | ||
posted_by: Miranda Mundt | ||
--- | ||
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## Overview | ||
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The 2025 US-RSE Community Awards recognize and celebrate the impactful | ||
contributions of individuals and teams who are advancing the field of research | ||
software engineering in the United States. | ||
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This year there were two categories of awards: | ||
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- **Technical Excellence**: Recognizes outstanding technical contributions that | ||
materially advance research software engineering practice. This award | ||
celebrates "the things RSEs do that are normally ignored." | ||
- **Community Impact and Leadership**: Honors leadership and service that | ||
amplifies the reach, visibility, and growth of the RSE profession. This | ||
award focuses on people who step beyond their own codebases to promote | ||
belonging, engagement, and awareness. | ||
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Each award also had two subcategories: **Student/Early Career** (current | ||
student or within five years of starting their career) and **Professional**. | ||
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## Winners | ||
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We are pleased to announce this year's winners for our two award categories. | ||
Each winner will receive a certificate as well as a $250 gift card. | ||
Please join us in congratulating our 2025 winners! | ||
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### US-RSE Technical Excellence | ||
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**Student/Early Career: Manoj Sundarrajan** | ||
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Manoj Sundarrajan is a Research Software Engineer in the Vehicle Grid | ||
Integration group at Idaho National Laboratory (INL). He co-led the | ||
development of Caldera, an EV charge modeling toolkit that was a 2023 | ||
R&D 100 finalist. Caldera is utilized by several leading private industry | ||
institutions, research organizations, universities, and national labs. Manoj's | ||
research focuses on developing tools for modeling and simulation of EV | ||
charging on the grid, as well as creating smart charge management solutions to | ||
enhance grid stability and reliability. | ||
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In addition to his role at INL, Manoj is a PhD student in the Systems | ||
Engineering at Colorado State University. Before joining INL in 2020, he | ||
earned his MS degree in Computer Systems Engineering from the University of | ||
Houston and a bachelor's degree in electrical engineering from | ||
Anna University, India. | ||
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**Professional: Daniela Cassol, Mario Melara, Elais Player-Jackson, | ||
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Ramani Kothadia, Setareh Sarrafan, Nicholas Tyler** | ||
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JAWS (JGI Analysis Workflow Service) is a scalable, multi-site workflow execution framework | ||
developed at the Department of Energy (DOE) Joint Genome Institute (JGI), to support | ||
large-scale genomic data analysis. Designed for robust and secure scientific computing across | ||
national DOE facilities, JAWS empowers researchers to run complex, containerized workflows | ||
seamlessly across the National Energy Research Scientific Computing Center, Environmental | ||
Molecular Sciences Laboratory, Oak Ridge National Laboratory, and Argonne Leadership | ||
Computing Facility. It integrates Cromwell, HTCondor, and Globus to ensure reproducibility, | ||
portability, and performance monitoring, aligning with the DOE's Integrated Research | ||
Infrastructure vision. | ||
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The JAWS team includes software engineers, data scientists, and user support specialists who | ||
collaboratively develop infrastructure and tools to meet evolving scientific and technical | ||
demands. The team supports production workflows across diverse domains, including | ||
metagenomics, genome assembly, transcriptomics, and annotation. Through continuous user | ||
engagement, strategic partnerships, and open science practices, JAWS contributes to the DOE | ||
scientific mission and energy research. | ||
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JAWS innovations include performance dashboards, support for GPU workloads, and secure | ||
multi-site job orchestration. As leaders in scalable workflow management, the JAWS team is | ||
advancing findable, accessible, interoperable and reusable (FAIR) workflows and empowers the | ||
scientific community with robust, portable bioinformatics pipelines. | ||
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### US-RSE Community Impact and Leadership | ||
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**Student/Early Career: Daniel Madren** | ||
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Daniel joined Purdue University in April 2024 as a Senior Research Development | ||
Administrator for the newly established Center for Research Software | ||
Engineering (RSE) within the Rosen Center for Advanced Computing (RCAC). In | ||
his role as Program Manager for RSE, he leads the design and execution of | ||
strategic project management processes, including intake workflows, service | ||
rate development, and long-term business planning. Daniel plays a pivotal | ||
role in shaping the Center's operational strategy, cultivating cross-functional | ||
collaborations with academic and government stakeholders, and driving | ||
sustainable growth through diversified funding models. Daniel draws on deep | ||
expertise in both predictive and agile methodologies to manage a diverse | ||
portfolio of research projects. He also serves as Co-Chair of the US-RSE | ||
Group Leaders Network, where he supports national coordination and | ||
knowledge-sharing among RSE leaders to advance the research software community. | ||
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**Professional: Rinku Gupta** | ||
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Rinku Gupta is a Research Software Specialist and Technical Product Manager | ||
with over 20 years of experience in scientific computing. At Argonne National | ||
Laboratory, she leads multi-institutional computing projects and efforts to | ||
improve high-performance scientific software through research and community | ||
engagement. | ||
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Her work focuses on software sustainability, productivity, and fault tolerance | ||
at extreme scale. She has conducted research on DOE-funded efforts including | ||
the IDEAS, BSSw.io, and Argo projects, the VeloC checkpointing library, and | ||
the CESAR co-design center. As product manager for Aurora GPT and BSSw.io, | ||
she coordinates across scientific teams to support large-scale AI models for | ||
science, aligning priorities and fostering collaboration. | ||
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Ms. Gupta is Editor-in-Chief of the Better Scientific Software website | ||
(BSSw.io), a community resource focused on improving software quality and | ||
sustainability in computational science. She is also a recognized leader in | ||
the Research Software Engineer (RSE) movement. She served on the US-RSE | ||
Association Board (2023–2024) and has helped define and advocate for the | ||
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RSE role at Argonne and across the broader HPC community. She has led | ||
lab-wide initiatives, cross-divisional collaboration, and peer networks | ||
supporting RSEs. | ||
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She holds a B.E. in Computer Engineering from Mumbai University and | ||
an M.S. from The Ohio State University. | ||
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