{"id":320,"date":"2025-10-28T11:39:58","date_gmt":"2025-10-28T15:39:58","guid":{"rendered":"https:\/\/web.uri.edu\/iacr\/?p=320"},"modified":"2026-03-26T20:25:45","modified_gmt":"2026-03-27T00:25:45","slug":"faculty-spotlight-rob-coyne-physics","status":"publish","type":"post","link":"https:\/\/web.uri.edu\/iacr\/faculty-spotlight-rob-coyne-physics\/","title":{"rendered":"Faculty Spotlight: Rob Coyne (Physics)"},"content":{"rendered":"\n

Exploring the Cosmos Through Computation: How URI\u2019s Research Computing Fosters Discovery
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Here at the University of Rhode Island, research computing isn\u2019t just about high-performance computing (HPC) and powerful servers – it\u2019s about enabling and fostering discovery. For Dr. Rob Coyne<\/a>, Teaching Professor and a researcher, access to URI\u2019s Institute for Artificial Intelligence & Computational Research<\/a> (IACR) has been essential in advancing his work on some of the most extreme phenomena in the Universe: gamma-ray bursts and gravitational waves.<\/p>\n\n\n\n

Cosmic Extremes<\/strong>
Much of Dr. Coyne\u2019s research focuses on gamma-ray bursts – short, intense flashes of high-energy light that mark cataclysmic cosmic events such as neutron star mergers or the collapse of massive stars. He approaches these phenomena through the lens of multi-messenger astronomy, combining electromagnetic observations with gravitational-wave detections to probe questions about the nature of matter and the origins of heavy elements. \u201cGamma-ray bursts are like cosmic laboratories,\u201d Dr. Coyne explains. \u201cThey let us explore the extremes of physics – everything from how gold and platinum are formed, to how neutron stars behave when they collide or collapse into black holes\u201d.<\/p>\n\n\n\n

From Theoretical Models to Data Pipelines<\/strong>
Much of Dr. Coyne\u2019s work revolves around developing tools to analyze the data produced by gravitational wave observatories such as LIGO, Virgo, and KAGRA. He leads efforts to build and advance pipelines that connect observational data to meaningful astrophysical observables, bridging theory and experiment.
\u201cI\u2019m mostly a gravitational-wave observationalist,\u201d Dr. Coyne says. \u201cA big part of what I do is pipeline development and data analysis. The cross-correlation algorithm I\u2019ve worked on since my Ph.D. is a good example – it takes raw interferometer data, performs correlation analyses, and produces interpretable results.\u201d
These computational pipelines rely on HPC resources to process large datasets. Here, URI\u2019s IACR has been instrumental. Dr. Coyne credits the Institute\u2019s support, in particular the Unity cluster<\/a> and its staff, for helping him and his students to scale up their work.<\/p>\n\n\n\n

Student Mentorship<\/strong>
Beyond enabling science, the Institute\u2019s infrastructure has supported Dr. Coyne in mentoring students. \u201cGetting students up to speed on HPC concepts can be overwhelming,\u201d he says. \u201cEvery cluster is different – different schedulers, packages, and configurations. Having a dedicated support team makes all the difference.\u201d
Dr. Coyne points to several success stories among his students. \u201cMy master\u2019s student, Matthew Maini, was the first to get our post-merger pipeline running on Unity. That was a complex job, and the Research Computing team helped make it happen. Since then, even my freshmen have been able to dive into HPC early on, thanks to that support structure.\u201d<\/p>\n\n\n\n


Collaboration and Computational Challenges<\/strong>
Dr. Coyne\u2019s research often involves collaboration across continents and across various platforms. Translating computational tools between systems like LIGO\u2019s Condor and URI\u2019s Slurm-based Unity cluster can be tedious. \u201cPorting one environment to another is practically a full-time job,\u201d he says. \u201cWithout the support of URI\u2019s computing specialists, it simply wouldn\u2019t be feasible.\u201d
The institute\u2019s team helps with everything from onboarding to debugging complex workflows, allowing scientists to focus on the actual science rather than the setup. \u201cWhether it\u2019s infrastructure, expertise, or just having someone you can call directly, the responsiveness here is exceptional,\u201d Dr. Coyne notes.<\/p>\n\n\n\n


Looking Ahead: Big Data<\/strong>
As gravitational-wave observatories grow more amplitude-sensitive and data volumes increase exponentially, Dr. Coyne sees URI\u2019s research computing resources as a vital component to staying ahead. \u201cThe next decade will shift us from small, bespoke analyses to massive data challenges,\u201d he says. \u201cWe\u2019ll need to rethink everything-how we prioritize searches, how we handle data throughput, how we use AI for efficiency.\u201d
Dr. Coyne is optimistic that URI will remain a partner in tackling these challenges. \u201cWhen Cosmic Explorer and the next-generation detectors come online, we\u2019ll be detecting almost every event that happens. That\u2019s thrilling-but it\u2019s also a computational challenge. URI\u2019s support will be critical to meeting it.\u201d<\/p>\n\n\n\n


Advice to Faculty and Students<\/strong>
When asked what advice he\u2019d give to others considering using URI\u2019s computing resources, Dr. Coyne didn\u2019t really hesitate and said: \u201cDon\u2019t be afraid.\u201d
\u201cThese systems can seem intimidating at first, but there\u2019s an incredible team ready to help. Nobody here has ever told me a project wasn\u2019t worth their time. They always say, \u2018That sounds great-let\u2019s do it.\u2019 That openness and collaboration have made all the difference.\u201d
He adds that embracing computation isn\u2019t just about convenience – it\u2019s becoming essential. \u201cYou can\u2019t do cutting-edge, competitive science today without engaging with these technologies. The sooner you dive in, the sooner you expand what\u2019s possible.\u201d<\/p>\n\n\n\n

Through his work, Dr. Coyne shows the growing importance of combining physics, data science, and computation. As URI continues to expand its HPC capabilities, researchers like him continue to demonstrate how useful and powerful these resources can be – not only for answering questions about the Universe, but for inspiring the next generation to ask even bigger ones.<\/p>\n\n\n\n

Interviewed by Nikola Bukowiecka
Physics Department, URI<\/em><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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