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Adam Zacharia Anil
I am an aspiring astrophysicist with a deep interest in gravitational wave instrumentation, data analysis, and the use of artificial intelligence in scientific discovery. My work spans experimental and computational approaches to understanding how precision instruments and intelligent systems can reveal the universe’s most subtle phenomena. You can explore projects like QUASAR, which lets you interact with one of the domain specific AI agents I am building for research.
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Feel free to browse through the pages to learn more about my work and interests, and visit the blog section for recent updates. While I try to keep everything current, some of my latest developments may not yet be reflected here.
Research Interests
Welcome to my research interests page. I am an aspiring astrophysicist fascinated by how precise instruments and intelligent systems can help us understand the universe. My work focuses on gravitational wave instrumentation, data analysis, and the use of artificial intelligence in experimental and observational astrophysics.
I am especially interested in multimessenger astronomy, where signals from gravitational waves, light, neutrinos, and cosmic rays come together to reveal the nature of some of the most powerful events in the cosmos. Through projects like QUASAR, I explore how machine learning and large language models can support discovery and improve the way scientists interact with complex data and instruments.
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​My specific research interests
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• Intelligent control systems – developing adaptive and reinforcement learning based methods for interferometer alignment and noise reduction in gravitational wave detectors.
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• Stray light identification and classification – designing optical and data driven techniques to locate, characterize, and mitigate stray light sources in precision optical systems.
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• Machine learning and AI for research – applying deep learning, signal processing, and data modeling to improve analysis pipelines and automate experimental feedback.
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• Agent based language models – building domain aware AI agents that can interpret natural language queries and execute accurate scientific or computational tasks.
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I am always open to engaging in collaborative research projects and expanding my knowledge. Please feel free to contact me if you share similar interests or have any suggestions for potential projects or collaborations.
