Find Academic Supervisors

• Astrophysics
• High-energy Astrophysics
• Relativistic Astrophysics
• +8 more

Frederick Lamb is a Research Professor of Physics at the University of Illinois Urbana-Champaign, with a distinguished career spanning astrophysics and international security. He holds the Brand and Monica Fortner Endowed Chair of Theoretical Astrophysics Emeritus and is a core faculty member in the Program in Arms Control and Domestic & International Security since 1982. Lamb earned his B.S. in Physics from Caltech (1967) and D.Phil. in Theoretical Physics from Oxford University (1970), where he was a Marshall Scholar. His research focuses on astrophysics , particularly neutron stars , black holes , and high-energy phenomena , using data from NASA missions like NICER and the defunct Rossi X-ray Timing Explorer . He developed foundational theories for X-ray pulsar modeling and boost-phase missile defense analysis. His work bridges relativistic astrophysics with national security studies. Recent publications (2018-2024) analyze neutron star interiors via X-ray timing , equation of state modeling, and NICER mission data, alongside arms control and missile defense policy reports. Lamb's scientific awards include the 2022 Bruno Rossi Prize , 2021 Five Sigma Physicist Award , and 2005 Leo Szilard Award . He contributes to public education through lectures and courses like 'Nuclear Weapons, Nuclear War, and Arms Control' since 1981.

• Cosmology
• Astrophysics
• Particle Physics
• +5 more

Dr. Guillermo Franco Abellán is a Postdoctoral researcher at the University of Amsterdam's Faculty of Science, affiliated with the Institute for Theoretical Physics (ITF). His research focuses on cosmology, particle physics, and astrophysics, particularly addressing observational tensions in cosmology, early universe physics, and dark matter models. He employs advanced computational methods for cosmological inference and simulation. Key research interests include probing cosmological parameters through CMB observations, analyzing dark radiation and dark matter models, and exploring implications of modified gravity theories. His work often intersects with cutting-edge observational facilities like Planck, ACT, and SPT. Recent publications highlight contributions to resolving the Hubble tension through novel physics models, developing fast sampling techniques for cosmological initial conditions, and investigating the interplay between neutrino physics and cosmological constraints. His interdisciplinary approach spans theoretical frameworks and data-driven analysis. Abellán collaborates on large-scale projects such as the CosmoVerse initiative, aiming to synthesize multi-messenger data and address fundamental cosmological questions. His work emphasizes rigor in statistical methodologies, including Bayesian inference and machine learning applications.

Ling SunView profile

Research Fellow

• Gravitational Wave Physics
• Neutron Stars
• Black Holes
• +3 more

Ling Sun is a Research Fellow at the Australian National University's Centre for Gravitational Astrophysics. Their work focuses on gravitational wave physics, neutron stars, black holes, and advanced detector technologies. They contribute to the LIGO and Virgo collaborations, specializing in data analysis for transient events and continuous wave searches. Research interests include gravitational wave detection methodologies, calibration uncertainties, and the interface between fundamental physics and observational astrophysics. They lead projects on ultralight boson searches and black hole spectroscopy, leveraging next-generation detector networks like Cosmic Explorer. Recent work emphasizes improving detector sensitivity through quantum noise suppression and exploring cosmological implications via Hubble constant measurements. Collaborations span global teams analyzing multi-messenger data from supernovae, magnetars, and fast radio bursts. Ling Sun co-leads the ANU team in the ARC Centre of Excellence for Gravitational Wave Discovery, advancing theoretical frameworks for exotic compact objects and gravitational wave signal interpretation.

Gregory AshtonView profile

Senior Lecturer

• Relativistic Astrophysics
• Gravitational Waves
• Neutron Stars
• +3 more

Gregory Ashton is a Senior Lecturer in Physics at the Department of Physics Astronomy, Royal Holloway, University of London. He holds a PhD from the University of Southampton (2016) and has held positions at the Albert Einstein Institute, Monash University, and the Institute for Cosmology and Gravitation. His research focuses on relativistic astrophysics, neutron stars, black holes, and gravitational waves. He actively contributes to the LIGO Scientific Collaboration, co-chairing the Compact Binary Group. His work spans signal processing, detector calibration, and algorithm development for gravitational wave detection. Education: PhD in Physics (2016), University of Southampton Research Interests: Gravitational wave astronomy and its implications for neutron stars/black holes Pulsar timing and astrophysical signal analysis Development of statistical methods in observational astronomy Grants/Projects: Gravitational-wave Consolidator Grant (PI), STFC (2022–2025) Turing Network Development Award (CoI), Alan Turing Institute (2022) Labs/Teams: Member of LIGO Scientific Collaboration, leading the Compact Binary Group. Affiliated with the Centre for Particle Physics and Astronomy.

Tom OomenView profile

Professor

• Control Systems
• System Identification
• Machine Learning
• +7 more

Tom Oomen is a full professor in the Department of Mechanical Engineering at Eindhoven University of Technology. He specializes in control systems, system identification, and mechatronics, with applications in precision engineering, semiconductor technology, and healthcare. His research focuses on data-driven control strategies, integrating machine learning and artificial intelligence to enhance system performance. He has held academic positions at KTH Royal Institute of Technology, The University of Newcastle, and Delft University of Technology. Recipient of the 7th Grand Nagamori Award and NWO Veni/Vidi grants. Editor roles: Senior Editor of IEEE Control Systems Letters and Co-Editor-in-Chief of IFAC Mechatronics. Research interests include advanced motion control, iterative learning control, and fault detection. He teaches courses like Advanced Motion Control and organizes post-academic courses through the Mechatronics Academy. Collaborates with industries in semiconductor equipment, printing, space technology, and healthcare. Recent articles explore topics such as random learning in ILC, nonlinear control for ventilators, and gravitational wave detection systems. Advises PhD students including Max van Meer, Max van Haren, and Koen Classens.

• Physical Cosmology
• Theoretical Cosmology
• Cosmic Microwave Background (CMB) Anisotropies
• +3 more

Professor Anthony David Challinor is a cosmologist and astrophysicist at the University of Cambridge , affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) under the Faculty of Mathematics . He serves as Professor of Cosmology and Astrophysics (2017-present) and Deputy Director of both the Institute of Astronomy and the Kavli Institute for Cosmology, Cambridge . His research focuses on testing cosmological models using observational data, particularly through the study of temperature anisotropies and polarization in the Cosmic Microwave Background (CMB). Key Research Areas : CMB anisotropies, gravitational lensing, B-mode polarization, cosmological parameter estimation, and gravitational waves from the early universe. Scientific Affiliations : Core Team member of the Planck High-Frequency Instrument , member of the Simons Observatory , and Fellow of Queens' College since 1998. His recent publications emphasize advancements in CMB data analysis, cosmological simulations, and instrumental sensitivity for space missions like LiteBIRD. He has contributed to major collaborations including the Atacama Cosmology Telescope and Planck 2018 results. Awards include Royal Society University Research Fellowship (2002-2007) and PPARC Postdoctoral Research Fellowship (2000-2002).

Alex Bentley NielsenView profile

Professor

• Gravitational Physics
• Astrophysics
• General Relativity
• +5 more

Alex Bentley Nielsen is a Professor of Physics at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Mathematics and Physics. His research focuses on gravitational waves, black hole physics, and general relativity, with significant contributions to the LIGO, Virgo, and KAGRA collaborations. He has authored over 20 peer-reviewed articles since 2020, emphasizing observational tests of general relativity, binary black hole mergers, and quantum gravity phenomenology. Key research interests include gravitational wave detection, quasi-normal mode analysis of black holes, and multi-messenger astrophysics. Recent work includes studies of neutron star-black hole mergers, pulsar gravitational wave emission, and constraints on modified gravity theories using LIGO data. He has also contributed to outreach activities, including public lectures at the Wonderful World Festival (2023–2024) and popular science articles in Astronomi magazine. His collaborative projects involve international teams analyzing gravitational wave data from advanced interferometers, with a focus on precision tests of Einstein’s theory and exploring post-merger ringdown signals. He has been involved in LIGO-Virgo-KAGRA’s fourth observing run and has pioneered methods for detecting sub-dominant quasi-normal modes in binary black hole mergers.

• Machine Learning
• Causal Inference
• Statistical Learning
• +4 more

Bernhard Schölkopf is a Research Professor and Director of the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen. His work focuses on machine learning, causal inference, and statistical learning theory. He leads a department with 20+ researchers and has contributed to breakthroughs in exoplanet discovery (e.g., K2-18b), gravitational wave research through LIGO, and foundational work in kernel methods. Research interests span causal structures underlying data dependencies, applications in astrophysics, and ethical implications of AI. He co-authored influential books like 'Causality: Methods and Models' (MIT Press, 2017) and pioneered kernel-based learning frameworks. His work bridges theoretical advances with practical applications in astronomy, healthcare, and robotics. Funding sources include Max Planck Society, DFG, EU Horizon 2020, and industry partnerships with Amazon, Bosch, and Google. He advocates for responsible AI development, opposing military uses of autonomous systems. Collaborates with Cyber Valley and ELLIS Institute Tübingen. Active in public discourse through articles in FAZ/SZ and presentations at global AI conferences.

• Machine Learning
• Causal Inference
• Kernel Methods
• +3 more

Bernhard Schölkopf serves as Director of the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, leading cutting-edge research in machine learning foundations and applications. His core research focuses on: Machine Learning and Causal Inference structures Kernel Methods and Statistical Learning Theory Astrophysical applications including exoplanet discovery (K2-18b water detection) and gravitational wave analysis Professor Schölkopf has mentored numerous students documented in the department alumni list and secures substantial funding from diverse sources including Max Planck Society, DFG, EU, Amazon, Google, and Facebook. His department actively contributes to the LIGO scientific collaboration and publishes foundational work in causality and kernel methods. He maintains strong ethical positions against military AI applications and has published influential societal commentary in major German newspapers regarding the cybernetic revolution and AI implications.

• Gravitational Waves
• Cosmology
• Particle Physics
• +2 more

Daniel G. Figueroa is a Research Professor at CSIC's Instituto de Física Corpuscular, leading investigations in gravitational wave physics, cosmic inflation, and early universe phenomena. His research develops theoretical frameworks and computational tools to probe fundamental physics through cosmological signatures. Dr. Figueroa pioneered the CosmoLattice simulation code for modeling field dynamics in expanding spacetimes, enabling precision studies of reheating mechanisms, topological defect evolution, and gravitational wave generation. Current projects examine axion inflation dynamics, cosmic string signatures, and gravitational reheating scenarios. Recent publications analyze pulsar timing array data, nonlinear axion field behavior, and LISA mission science goals. His work supports next-generation gravitational wave observatories including LISA and Einstein Telescope through theoretical predictions and data interpretation frameworks. Dr. Figueroa maintains active collaboration within international consortia including the LISA Cosmology Working Group, advancing cosmic frontier research through interdisciplinary approaches.

Sarah VigelandView profile

Associate Professor

• Gravitational Waves
• Pulsar Timing Arrays
• Supermassive Black Holes
• +3 more

Sarah Vigeland is an Associate Professor and Graduate Advisor in the Physics Department at the University of Wisconsin Milwaukee, where she works in the Center for Gravitation, Cosmology & Astrophysics. She is a prominent member of both NANOGrav (North American Nanohertz Observatory for Gravitational Waves) and the International Pulsar Timing Array (IPTA), contributing significantly to the field of gravitational wave astronomy. Her research focuses on the detection of low-frequency gravitational waves using pulsar timing arrays, with particular emphasis on gravitational waves from supermassive binary black holes. She develops advanced techniques for gravitational wave detection, studying how these phenomena connect to the growth and evolution of galaxies. Her work spans both the gravitational wave background and individual supermassive binary black hole systems. Analysis of her recent publication record shows a strong focus on the NANOGrav 15-year dataset, with contributions across multiple aspects of gravitational wave detection including spectral analysis, memory effects, individual source detection, and statistical methods. Her work demonstrates a consistent integration of computational physics with astrophysical theory, particularly in developing efficient Bayesian methods for gravitational wave searches. As a member of major international collaborations, she contributes to advancing the field of gravitational wave astronomy through both theoretical developments and practical data analysis techniques. Her GitHub activity shows active contributions to critical software infrastructure for pulsar timing array analysis, demonstrating her commitment to open science and collaborative research.

Neil CornishView profile

Professor

• Gravitational Wave Astronomy
• Cosmology
• Relativistic Astrophysics
• +2 more

Neil Cornish is a Regents Professor and Distinguished Professor in the Department of Physics at Montana State University's College of Letters & Science, where he directs research through the eXTreme Gravity Institute (XGI). His work focuses on gravitational wave detection and relativistic astrophysics, with collaborations spanning CalTech, MIT, Harvard, Princeton, and European institutions. Education: Ph.D. in Physics, University of Toronto (1996) M.S. in Physics, University of Melbourne (1992) B.S. in Physics, University of Melbourne (1990) Cornish's research explores extreme gravity phenomena including black hole mergers, neutron star binaries, and early-universe cosmology. His 2024 publications demonstrate consistent focus on gravitational wave data analysis techniques, pulsar timing arrays, and multi-messenger astrophysics, with particular emphasis on noise modeling and detection methodologies for LIGO/Virgo observations. Awards & Honors: Outstanding Referee, American Physical Society (2021) College of Letters and Science Distinguished Professor (2021) Regents Professorship, MUS (2018) Springer Physics Highlights (2017) Provost’s Award for Graduate Research Mentoring, MSU (2017) He has advised numerous graduate students including Meg Millhouse and Laura Sampson, and secured major grants from NASA and NSF for LISA gravitational wave research and Bayesian signal reconstruction. Cornish co-leads the eXTreme Gravity Institute, coordinating research across gravitational wave theory, data analysis, and cosmology.

Luis LehnerView profile

Research Professor

• Strong Gravity
• Gravitational Wave Astronomy
• General Relativity
• +7 more

Luis Lehner holds the Carlo Fidani Rainer Weiss Chair in Theoretical Physics at the Perimeter Institute for Theoretical Physics and is an Associate Professor in the Department of Physics at the University of Guelph. He also holds adjunct roles at the University of Wisconsin-Milwaukee and Louisiana State University. His research focuses on strong gravity regimes, testing alternative theories of gravity using gravitational wave detectors, and exploring higher-dimensional scenarios and AdS/CFT correspondence. He is a prominent figure in gravitational wave astronomy, working on multimessenger observations and developing frameworks to probe General Relativity's validity. Lehner has held leadership positions including Deputy Faculty Chair at Perimeter Institute and advisory roles at KITP and ICTP-SAIFR. His work bridges theoretical physics with observational astrophysics, emphasizing black hole dynamics, relativistic hydrodynamics, and turbulence. Recent publications highlight advancements in gravitational wave signal analysis, black hole mimicker studies, and nonlinear gravity effects. Education : Not explicitly listed in text, but his roles imply PhD-level training in Physics. His awards include membership in the National Academy of Sciences of Argentina, the Buchalter Cosmology Prize, and fellowships from APS and the Institute of Physics. He actively participates in international collaborations like the Gravitational Wave International Committee and contributes to detector networks like LIGO-Virgo.

• Seismology
• Geodynamics
• Gravitational Wave Astronomy
• +3 more

Dr. Stefan Strub is a Researcher at ETH Zurich's Institute of Geophysics within the School of Earth and Planetary Sciences (D-EAPS). He is affiliated with the Professorship for Seismology and Geodynamics. His primary research focuses on gravitational wave astronomy, seismology, and geodynamics, with a strong emphasis on data analysis techniques for space-based missions like LISA. He develops advanced algorithms for parameter estimation in gravitational wave signals, including applications of machine learning and Bayesian methods. His work contributes to understanding massive black hole mergers, extreme mass ratio inspirals, and galactic binary systems. Key technical contributions include optimizing parameter estimation through genetic algorithms and GPU computing, as well as applying Gaussian Process Regression to LISA data. Dr. Strub's expertise spans both theoretical modeling and experimental sensor technology, as evidenced by his 2019 work on strain sensing applications. His research bridges geophysics with astrophysics, leveraging interdisciplinary approaches to tackle challenges in observational astronomy and earth sciences.

Aaron JohnsonView profile

Researcher

• Gravitational Wave Astronomy
• Astrophysics
• General Relativity
• +3 more

Aaron Johnson is a Researcher in the Physics Department at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. His research focuses on gravitational wave astronomy, particularly using pulsar timing arrays (PTAs) to detect and characterize the nanohertz stochastic gravitational-wave background. He contributes to projects like NANOGrav and the International Pulsar Timing Array (IPTA), exploring topics such as supermassive black hole binaries, signal confusion noise in detectors like LISA, and Bayesian analysis techniques for gravitational wave detection. Johnson's work spans theoretical and observational astrophysics, including studies on extreme mass ratio inspirals (EMRIs), data analysis methodologies for PTA datasets, and the application of machine learning to parameter space modeling. His research has implications for understanding galactic structures, gravitational wave physics, and the capabilities of future missions like LISA. Key contributions include developing methods to identify discrete gravitational wave signals, optimizing PTA data subsets, and analyzing the impact of highly eccentric orbits on LISA's signal detection. His publications highlight advancements in statistical techniques, such as Hamiltonian Monte Carlo and likelihood reweighting for accurate background characterization. Johnson collaborates on interdisciplinary projects, integrating general relativity principles with cutting-edge observational techniques. His work emphasizes the importance of precision in gravitational wave detection and the potential of multi-messenger astronomy for uncovering cosmic phenomena.