A diverse group of researchers, engineers, and visionaries pushing the boundaries of scientific discovery.
Leading the development of Denario AI's core algorithms and scientific vision.
Astrophysicist / AI Researcher — Autonomous University of Barcelona (UAB)
Pablo is an astrophysicist specializing in cosmology and reionization. He is one of the three equal lead contributors to the Denario project and focuses on the automation of scientific workflows using multi-agent AI systems.
Researcher
Boris was the first to introduce multi-agent systems in Astrophysics and now works across disciplines developing systems that can conduct research autonomously and make discovery faster.
Research Scientist — Center for Computational Astrophysics, Flatiron Institute / Princeton University
Francisco is an astrophysicist and cosmologist specializing in large-scale structure, cosmological simulations, and machine learning applications in astrophysics. He is one of the three lead creators of Denario and a key figure behind the AstroPilot-AI initiative.
A diverse group of researchers pushing the boundaries of scientific discovery.
Postdoctoral Researcher — Princeton University
Adrian is a cosmologist and data scientist working on statistical methods for large-scale structure and field-level inference. His research bridges machine learning and observational cosmology.
Researcher — Affiliation not publicly specified
Pablo is a researcher with contributions to the Denario project. His published work spans data analysis and computational science methods relevant to multi-agent AI research.
Researcher — Affiliation not publicly specified
Camille is a contributor to the Denario project, with research interests in computational methods and scientific data analysis. Her work supports the multi-agent framework's development and evaluation pipeline.
Assistant Professor — Princeton University (Astrophysical Sciences)
ChangHoon is a cosmologist specializing in galaxy surveys and statistical inference, with a focus on applying machine learning to large-scale structure data. He develops Bayesian and simulation-based methods for next-generation cosmological analyses.
ICREA Research Professor — Institute of Cosmos Sciences (ICCUB), University of Barcelona
Raul is a cosmologist with broad expertise in dark energy, stellar populations, gravitational waves, and observational cosmology. He has pioneered methods connecting stellar physics with cosmological constraints.
Researcher — SENSEx Lab, SISSA (International School for Advanced Studies), Trieste, Italy
Jiajun is a researcher at the SENSEx Lab at SISSA, contributing to neuroscience and sensory systems research. His involvement in the Denario project supports its applications in neuroscience and biophysics.
Researcher — South Korea (LinkedIn-based)
Jun-Young is a researcher contributing to the Denario project, with interests in data science and AI-driven scientific methods. His contributions support the system's evaluation and multi-domain application.
Researcher — Affiliation not publicly specified
Thomas is a contributor to the Denario project, supporting the system's development and scientific evaluation across domains. His background includes computational methods and scientific software development.
Senior Research Scientist & Director — Institute for Applied Computational Science (IACS), Harvard University
Pavlos is an applied mathematician and astrophysicist specializing in machine learning for scientific applications. He co-founded and directs the IACS at Harvard, where he develops deep learning methods for astrophysics, cosmology, and data-intensive science.
Researcher / Graduate Student — Affiliation not publicly specified
Shimanto is a contributor to the Denario project. His research interests include computational science and AI tools for scientific workflows, with work across data analysis and modeling domains.
PhD Student — Institut de Ciències del Cosmos (ICCUB), University of Barcelona
Pedro is a doctoral researcher whose work focuses on the interplay between Quantum Field Theory and General Relativity, particularly the AdS/CFT correspondence (Strings/Gravity duality). He is a contributor to the Denario project's mathematical physics applications.
Google Deepmind /AG2
Chi is a contributor to the Denario project with expertise in computational methods and AI-driven scientific research. His work supports the system's technical development and cross-domain application efforts.
University of Cambridge
Licong is a researcher at the Institute of Astronomy, Cambridge, contributing to astrophysics and AI-driven analysis. Her work within the Denario project spans computational astrophysics and scientific automation methods.
Flatiron Research Fellow — Center for Computational Biology, Flatiron Institute (Simons Foundation)
Qiyao is a computational biologist at the Flatiron Institute, working at the intersection of machine learning and biological data analysis. Her contributions to Denario focus on applications in biology and bioinformatics.
Researcher / Technologist — Infosys
Chetana works at Infosys as part of the research and innovation team, contributing to applied AI and data science projects. She is a contributor to the Denario multi-agent system.
Flatiron Research Fellow — Center for Computational Biology (CCB) & Center for Computational Mathematics (CCM), Flatiron Institute (Simons Foundation)
Anupam earned his PhD in Chemistry from UC San Diego, specializing in theoretical and computational biophysics. At the Flatiron Institute, he develops multiscale simulation methods at the intersection of cryo-electron microscopy and machine learning for studying biomolecular systems and accelerating drug discovery.
Researcher — Boston Children's Hospital / Harvard Medical School
Urbano is an interdisciplinary researcher with a background spanning theoretical physics, cosmology, and health services research. At Harvard Medical School, he applies data science and computational methods to biomedical and clinical datasets.
Researcher — Department of Earth and Planetary Science, University of Tokyo
Wen-Han is a researcher in planetary science at the University of Tokyo, contributing expertise in Earth and planetary systems to the Denario project. His work bridges observational data analysis with computational modeling.
Researcher — Affiliation not publicly specified
Bonny is a contributor to the Denario project. Her research interests include data science and computational analysis, supporting the system's scientific evaluation and development pipeline.
Incoming Assistant Professor — Smith School of Chemical and Biomolecular Engineering, Cornell University (opening summer 2026); currently leading the MsEE Lab
Pablo is a bioengineering researcher who leads the Multiscale Evolutionary Engineering (MsEE) Lab, focused on synthetic biology, simulation, and evolutionary forecasting. He is an advocate for open science and dedicated mentorship in STEM.
Professor of Mathematics — SISSA (Scuola Internazionale Superiore di Studi Avanzati), Trieste, Italy
Antonio is a mathematician working in the areas of real algebraic geometry, random topology, and probability theory. His involvement in Denario reflects the project's ambition to extend AI-driven research into pure and applied mathematics.
Research Scientist — Center for Computational Astrophysics, Flatiron Institute
Yan-Fei specializes in radiation magnetohydrodynamics and computational astrophysics, with expertise in simulating stellar interiors, accretion disks, and high-energy astrophysical environments. He is a leading expert in numerical methods for astrophysical fluid dynamics.
Postdoctoral Researcher in Wearable Sensors — Big Data Institute (OxWearables group), University of Oxford
Aidan researches human activity recognition using machine learning applied to wrist-worn accelerometer data. He completed his DPhil at Oxford in 2025, where his work focused on using wearables to predict Parkinson's disease.
Researcher / Technologist — Infosys
Ujjwal is a researcher at Infosys contributing to applied AI and scientific computing initiatives. He is a collaborator on the Denario project, particularly in bridging enterprise AI research with scientific discovery workflows.
Research Scientist — Center for Computational Astrophysics, Flatiron Institute
Digvijay is a cosmologist working on field-level inference and machine learning applications in large-scale structure and astrophysics. He develops simulation-based and neural methods to extract cosmological information from galaxy surveys.
Researcher — Affiliation: Israel (LinkedIn-based)
Almog is a researcher contributing to the Denario project. Their background spans data science and scientific computing, with contributions to the system's development and evaluation.
Professor — Sagol School of Neuroscience & Faculty of Life Sciences, Tel Aviv University
Yossi is a leading neuroscientist specializing in bat sensory biology, biosonar, and animal navigation. He runs experimental and computational research on how animals process spatial and sensory information, with implications for neuroethology and bioinspired technology.
Professor — SISSA (Scuola Internazionale Superiore di Studi Avanzati), Trieste, Italy; SENSEx Lab
Matteo is a cosmologist specializing in the Lyman-alpha forest, warm dark matter, and neutrino cosmology. He uses large-scale cosmological simulations to probe fundamental physics, and co-leads the SENSEx Lab at SISSA.
Assistant Professor — Faculty of Mathematics, University of Cambridge
Miles is an astrophysicist and machine learning researcher known for his work on symbolic regression and neural network-based scientific discovery tools. He co-holds a Google Research Scholar Award with Boris Bolliet for AI-driven cosmological research.
Postdoctoral Researcher — Institute of Astronomy / Kavli Institute for Cosmology, University of Cambridge
Íñigo is a cosmologist at the University of Cambridge specializing in CMB lensing and galaxy cluster cosmology. He is a co-developer of the CMBagent framework that powers Denario's deep-research backend, and contributes to cutting-edge analyses of Sunyaev-Zel'dovich observations.
Machine Learning Scientist — New Equilibrium Biosciences (formerly Postdoctoral Researcher, Pacific Northwest National Laboratory / Stanford SLAC)
Osman is a computational chemist and machine learning scientist who earned his PhD from the University of South Carolina. He specializes in applying predictive and generative AI models to accelerate materials discovery and drug development.
Researcher — College of Engineering, Cornell University
Shuwen is a researcher at Cornell University with interests in computational biology and data-driven scientific methods. She is a contributor to the Denario project, supporting its application to biological and biomedical research domains.
