Aard Keimpema got his PhD in computational physics from the university of Groningen in 2008. Since that time he has been employed at the Joint Institute for VLBI ERIC as a scientific programmer, working primarily on the correlator.

I'm currently a software developer at SKAO, working on the data management stack for the SKA Regional Centres (SRCnet). This will manage the processing, collection and distribution of SKA data to astronomers across the world. Before that I did a PhD using LOFAR to observe radio galaxies and merging galaxy clusters, and then a post-doc looking at applying machine learning models to source classification problems in multi-wavelength surveys. You can learn more about me at informationcake.com.

Ameera Gangat is a Junior Software Engineer at the South African Radio Astronomy Observatory (SARAO). She works on software supporting the MeerKAT telescope, with a focus on web application development, testing, and automation. She enjoys building reliable software and learning through practical engineering challenges.

Andreas Wicenec is one of the oldies at ADASS and has attended most of the conferences in the past. He is currently the director of the Data Intensive Astronomy program of the International Centre for Radio Astronomy Research (ICRAR) delivering software for the SKA and has previously worked at ESO on the ESO and ALMA archives. Trained as an astronomer he has turned most of his attention to data management and high performance computing, while still keeping an eye on his passion, astronomy.

I am a 30 year contributor to open source, having worked for and with several projects and groups over the years. I have extensive experience in software engineering, platform design and architecture with a bredth of experience developing automation and IaC within enterprises. I have worked on the NASA Fornax project since 2023 and currently build enterprise grade platforms in the Astrophysics and Aerospaces

Dr. Arthur Eigenbrot (he/him) is an Instrumentation Calibration Engineer at the Daniel K. Inouye Solar Telescope (DKIST), operated by the National Solar Observatory in Boulder, CO. His primary job is designing and building the reduction pipelines that turn raw data from the DKIST instruments into science-quality data products for use by astronomers around the world. He received his PhD in Astronomy from the University of Wisconsin-Madison where he focused on astronomical instrumentation and studies of galaxies outside of the Milky Way. In 2017 he moved to Colorado and gave up late nights at a telescope when he joined the daywalkers at the National Solar Observatory.

Scientist/Astrophysicist at USRA/STI, PhD Astrophysics (Macquarie), MS Plama Physics (QUB), MS Engineering (Rostock)

• from 2023: "CCAT Data Center Manager" at University of Cologne
• 2014-today: PostDoc at University of Cologne, Germany Projects: GREAT/SOFIA, NANTEN-2, HIFI-ICC, CCAT
• 2009-2013: PhD Student /Astronomer on Duty at IRAM 30m, Granada, Spain
  Thesis: "The cold and dense interstellar medium of M 33"
• 2008-2009: Diplom-Thesis at Max-Planck Institut for Radioastronomy, Bonn, Germany
  Thesis: "An In-depth Study of the Interstellar Medium in the Barred Spiral Galaxy NGC3627"
• 2003-2009: Study of Physics at University of Bonn, Germany

Researcher in numerical simulation and AI/ML applications in Astrophysics at the Institute for Radio Astronomy INAF (Italy)

I am a Computer Scientist by formation, working as a Supercomputing Applications Specialist at the Pawsey Centre. Among other things, I specialise in GPU programming and optimisation. I am currently pursuing a part-time Ph.D. at CIRA. My goal is to find and characterise Fast Radio Bursts in the petabyte-sized MWA observation archive, also leveraging my supercomputing skills.

Hold a Master’s degree in Computer Science.
Working for German Center for Astrophysics as a Data Scientist.

I am an Orbital Dynamicist at the European Space Agency's Near-Earth Object Coordination Centre (NEOCC). My work focuses on asteroid orbit determination, impact monitoring, and planetary defence operations. I am responsible for the operational use and validation of the Aegis software system and contribute to its evolution within NEOCC activities. I am also a developer and user of Meerkat Asteroid Guard, a software platform for imminent impactor detection, impact-risk assessment, and alert management.

Dr. Giovanni Lacopo serves as a Technological Researcher specializing in software development for the SKA SRCNet. He earned his Master’s degree in Theoretical Physics in 2021, shifting into computational astrophysics for his PhD in Computer Science and Astronomy, which he completed in 2025 with a focus on 'Green HPC and Big-Data analysis with applications in numerical cosmology'. Bridging the gap between physics-driven algorithms and massive scale-out computing, his current research focuses on the synergistic entanglement of HPC workflows and Artificial Intelligence. He is actively pioneering the use of autonomous multi-agent systems to accelerate, refactor, and scientifically validate data processing engines for next-generation astronomical facilities.

I am an EPSRC Doctoral Prize Fellow in the School of Physics at the University of Bristol, working at the intersection of machine learning, astrophysics and scientific software. My research focuses on developing practical machine-learning methods for noisy, incomplete and complex scientific data, with interests including active learning, generative models and simulation-based inference. I completed my PhD in Interactive AI, where I investigated how active-learning methods can be made more effective in real-world scientific settings. My current work includes machine-learning research for large astronomical datasets and the Euclid mission, alongside the development of AstronomicAL, an interactive scientific workbench that grew out of my research into human-in-the-loop machine learning for astronomy.

Justin (Jay) Smallwood (he/him) is a PhD candidate in Astronomy and Astrophysics at Swinburne University of Technology, part of the CSIRO Industry PhD Program in partnership with Fourier Space, supervised by Prof. Adam Deller, Prof. Matthew Bailes, Dr Chris Phillips, and Andrew Jameson. His research asks how far GPUs can be pushed in real-time radio astronomy signal processing, where RFI mitigation demands terabyte-per-second data rates and millisecond latencies, and how the flexibility of software-based approaches can solve difficult problems in radio astronomy. Before astronomy, Jay worked as an equity trader, strategist, and software engineer at Goldman Sachs and Catalyst Funds Management.

Software Engineer working for the Space and Defence Industry for more than 18 years.
Currently working as Software Engineer and Database Expert at the ESA Science Data Centre (European Space Agency).
Working mainly for the Euclid mission, launched July 1st and expected to generate PB of data while mapping the geometry of the Universe and better understanding the mysterious dark matter and dark energy.

John Glorioso is a Chief Engineer in the Data Management Division at the Space Telescope Science Institute. He is the cloud architect for the Roman Science Data Pipeline and responsible for guiding development efforts. His career has spanned thirty years in software development and architecture with a focus on high throughput data processing.

I am a postdoctoral researcher at Leiden Observatory and ASTRON in the Netherlands. My work focuses on developing and improving data-reduction strategies and techniques for automated processing of radio interferometric data from the LOw Frequency ARray (LOFAR) to produce wide-field sub-arcsecond resolution images on HPC clusters. I am also interested in studying the cosmic evolution of radio galaxies and galaxy cluster mergers, using both total intensity and polarised radio emission.

Professor Karl Glazebrook FAA is a Laureate Fellow and Distinguished Professor in Swinburne’s Centre for Astrophysics and Supercomputing (CAS). His research interests include observational cosmology, astronomical instrumentation/software and the formation and evolutionary history of galaxies. He is a Fellow of the Australian Academy of Sciences (elected in 2017) and before receiving his Laureate Fellowship was Director of CAS (2014-2019).

He is currently leading a research group, addressing fundamental questions in galaxy evolution by observations on the largest telescopes (4-8m diameter) such as Keck, Magellan and the Anglo-Australian Telescope (AAT). A Highly Cited researcher, Professor Glazebrook has also served as Chair of the International Facilities Working Group of the Australian Astronomy Decadal 2016-2025 Plan and as a member of the Australian Research Council College of Experts. He has extensive experience in research management and research capability building.

Professor Glazebrook’s scientific accomplishments include the development of the 'nod and shuffle' spectroscopic technique, characterising the bimodal colour and environmental distributions of local galaxies, the study of the morphological and spectroscopic evolution of galaxies over cosmic time using Gemini, Hubble and Keck telescopes and the development of innovative cosmological techniques such as the use of 'Baryonic Acoustic Oscillations'. He has received the Muhlmann Award for his work on astronomical instrumentation.

In software he created the perl/PGPLOT visualisation library (1993), the Perl Data Language (1996, pdl.perl.org) data science language that have both been widely used in fields as diverse as astronomy, economics and bioinformatics. Code has been utilised in the NASA Spacewatch program to discover 523 near-Earth asteroids, including 58 potentially hazardous ones.

Kartheik Iyer is a computational extragalactic astrophysicist studying the physical processes that regulate how galaxies grow and quench over time. He is an avid proponent of open software & data, with a focus on novel applications of statistical and machine learning methods to astrophysical problems.

Dr.-Ing. Lars Haupt is a Data Scientist at the German Center for Astrophysics (DZA), where he develops and optimizes scientific workflows for data-intensive astrophysical research. His work bridges cloud-based High-Throughput Computing (HTC) and High-Performance Computing (HPC), enabling scalable, efficient, and reproducible execution of scientific pipelines across heterogeneous computing environments.

He earned his doctorate at TU Dresden, where his research focused on scalable numerical methods and multigrid solvers for massively parallel HPC systems. Building on this foundation, he now works at the intersection of HPC, cloud computing, and workflow engineering, integrating traditional supercomputing with flexible cloud-based infrastructures to support next-generation scientific applications.

Marcin Sokolowski holds a Master's degree (1998) and a Ph.D. (2008) in Physics from the University of Warsaw and the National Centre for Nuclear Research, respectively. Prior to his Ph.D., he worked for five years as a senior software programmer. He began his astronomy career developing algorithms for the "Pi of the Sky" robotic telescope network before moving to Australia in 2012 to transition into radio astronomy. Marcin has extensive experience at the intersection of science and engineering, and has contributed to several projects ranging from Epoch of Reionisation experiments and MWA operations, to the testing and verification of SKA-Low prototype stations. In 2025, he joined AusSRC as a support scientist, optimising the CARTA visualisation software for massive datasets from existing and future telescopes and working on the SRCNet project to deliver science-ready SKA data to researchers across the globe. His research focuses on Fast Radio Bursts (FRBs), pulsars, and other low-frequency transients, and over the last few years he has been leading the development of a novel GPU-based pipeline for image-based FRB searches.

Astronomer and Data Scientist with over 20 years of experience supporting astronomy space missions from ESA, NASA and JAXA. Currently working as Innovation Lead in SSC Space and R&D engineer at the ESAC Science Data Center working on world-class space missions like Euclid, JWST and HST. Some of these missions are producing peta-byte scale data sets and we are developing science archives and platforms with the tools that scientists need to discover and consume this data.

Mark Kettenis is a software project scientist at the Joint Institute for VLBI ERIC (JIVE,). In this role they are involved in developing software for the entire data processing chain for high resolution radio interfermetry: from correlator all the way through calibration and imaging. Mark has an engineering degree in Applied Physics from the University Twente and a PhD in Thoretical Physics from the University of Amsterdam and is active in various open source software projects.

Mars Buttfield-Addison is a PhD Candidate at the University of Tasmania, whose project on radio astronomy software and data standards is co-funded by CSIRO Data61. On the side, she does freelance and hobby work in software development, including signal processing for satellite tracking and solar weather.

During her seventeen-year tenure at the NASA Exoplanet Science Institute (NExScI), Meca Lynn has built ingestion tools for the NASA Exoplanet Archive and the Real Time Ingestion pipeline for the Keck Observatory Archive. She currently serves as Deputy Engineering Lead for the NASA Exoplanet Archive.

Miguel Gómez is the GOATS Lead Engineer at Gemini Observatory (NSF NOIRLab) in La Serena, Chile, where he leads development of an end-to-end platform for time-domain and multi-messenger follow-up. His work spans the full stack, from web interfaces to the integration of data reduction pipelines and observatory services into a single unified workflow.

Researcher on AI/ML applications for Astrophysics at the Institute for Radio Astronomy, INAF,
Via P. Gobetti 101, 40129 Bologna, Italy

Dr Nikhel Gupta is a Research Scientist at CSIRO Space & Astronomy, specialising in machine learning for large-scale radio continuum surveys, with research interests spanning scientific machine learning, computer vision, and data-intensive astronomical pipelines. He holds a PhD in Astrophysics from the Max Planck Institute for Extraterrestrial Physics — LMU Munich.

I'm a software engineer at the Paris Observatory.

Paul Barrett is an Associate Research Professor in the Department of Physics at The George Washington University. His studies focus on multi-wavelength observations of Cataclysmic Variable stars, primarily at radio frequencies. He also has over forty years of scientific software experience in astronomy including the development of Scientific Python beginning thirty years ago. He is currently a lead developer for several Julia programming language projects and a member of the JuliaAstro steering council.

Postdoc at Mila - Quebec AI Institute, leading a multi-disciplinary, multi-institutional team on machine learning-based radio astronomy project

I am the Survey Science Project lead, connecting the compute expertise in the Data-Intensive Astronomy group to the needs of the astronomers.

Currently, I serve as the Lead Software Architect for the Swiss SKA Regional Centre, overseeing its development and deployment. I am the National contact for Switzterland in the SRCNet, and thus coordinate and manage the Swiss contributions to the project.
Previously, I've worked at the Square Kilometre Array Observatory (SKAO) to help define the SKA Regional Centre design and prototype suitable solutions for SRCNet.
By education, I'm an electrical engineer with a strong background in programming and algorithms.

I am an Associate Professor G at the National Centre for Radio Astrophysics, Pune India and am also presently in the role of Product Manager-Science Data Processing at the Square Kilometre Array Observatory. My research interests are cosmic magnetism and radio astronomy techniques.

I am a faculty at the newly formed Space Science & Engineering facility of the University of Hawaii at Manoa. I work on fiber-fed spectroscopic and spectro-polarimetric instrumentation with a focus on extra-galactic astrophysics.

Hold a Masters degree in Computer Science - Focus on Big data and AI.
Working for German Center for Astrophysics as a Data scientist.

Sam Bianco is a scientific software engineer at the Space Telescope Science Institute (STScI), where she develops software and data access tools for the Mikulski Archive for Space Telescopes (MAST). She is the lead developer for the astroquery.mast module and the Astrocut Python package, and she also maintains the MAST Jupyter notebook repository. As an engineer at MAST, Sam has contributed to several software projects, focusing primarily on improving the usability, performance, and accessibility of astronomy software. As part of her efforts, Sam has created and presented dozens of interactive tutorials and examples that help researchers discover, access, and analyze archival data. In addition to her engineering work, Sam also participates in a research project searching for exoplanets around nearby white dwarf stars.

Data Scientist at ESA's European Space Astronomy Centre (ESAC) in Spain, where I work on AI and data science solutions for space science. I support the Euclid mission through the development of data analysis tools and science platforms.

Scientist at CADC.

Since 2013, I have been a member of the Astroninformatics Research Group, also known as the Chinese Virtual Observatory (China-VO), at the National Astronomical Observatories, Chinese Academy of Sciences. My work has focused on astronomical data systems, virtual observatory applications, and user-oriented research platforms. I contributed to the LAMOST data release system and several China-VO services, with particular emphasis on front-end development, user interaction design, data visualization, and tools that make large astronomical datasets easier to explore and analyze.
In recent years, my research has increasingly focused on applying artificial intelligence and human-AI collaborative methods to large spectroscopic surveys. I have developed CCF-based machine-learning workflows for identifying spectroscopic binary and multiple-star candidates in LAMOST-MRS data, and integrated these results into interactive online research platforms supported by China-VO and NADC. These platforms combine candidate search, visual inspection, cross-identification, user annotation, and multi-source data exploration to support scientific discovery. I also work on astronomical education and public outreach through NADC and currently serve as Chair of the IVOA Education Interest Group.

Simon is a Senior Principal Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at The University of Western Australia. Simon is an astronomer studying the evolution of mass, energy and structure, from the Big Bang to the present day.

Snehal is a software engineer and a lean-agile coach with an industry experience of 20+ years. She is based in Pune, India Snehal works as a SAFe Release Train Engineer and SAFe Pprocess Consultant for SKAO https://www.skao.int/en (building the world's largest radio telescope) and is founder of her company: Sanikaizen Solutions. With a passion for creativity, she brings a unique perspective to her work, striving to foster innovation and efficiency in software development and agile practices.

Staff Scientist at the National Radio Astronomy Observatory, USA

I am the Data Abstraction lead at the Vera C Rubin Observatory responsible for the data reduction pipelines, build systems, and data engineering teams. Previously I was the software lead at the CCAT telescope and before that I was head of the Scientific Computing Group at the Joint Astronomy Centre responsible for the data reduction software and the flexible scheduling systems at JCMT and UKIRT. For ten years I also led the Starlink software development team.

Trystan Lambert is a postdoc at the International Center for Radio Astronomy Research (ICRAR) at the University of Western Australia (UWA) working on identifying galaxy groups and other large scale structures in the upcoming Wide Area VISTA Extragalactic Survey (WAVES).

Moved up the satellite chain from control systems in the European Space Operations Centre to the science end of the missions in ESTEC and discovered Gaia. Started with C++ and moved on to Java and Enterprise level systems. Did some serious ground breaking numerical programming in Java.

Managed a reasonable sized team and collaborated with the 300+ scientists and programmers on the Gaia Data Processing project. Next became responsible for all the science ground segments in ESAC Spain as manager of managers.

Now responsible for all the data comming from Rubin Observatory and getting it to the community.