Now: Research Intern at Polymathic AI - Summer 2025
PhD: Astrophysics @ Toronto - Advisor: Jo Bovy - Expected 2028
Mission: Using this new wave of AI to understand the universe.
Tools: ChatGaia - ChatADS - AstroCoder
Latest: Building AstroCoder
Nolan Koblischke, Hyunseok Jang, Kristen Menou, Mohamad Ali-Dib
ICML 2025A benchmark that challenges AI agents on gravitational physics discovery tasks, evaluating scientific reasoning and observational planning capabilities within controlled, physics-based environments.
Nolan Koblischke, Mugdha Polimera, Maja Jablonska, Sergi Blanco-Cuaresma, Hilke Reckman, Ioana Ciuca & UniverseTBD
Application - April 10, 2025Transforming how astronomers discover code: AI-powered search across 2,270 astronomy tools. From finding the right package to generating working examples in seconds.
Nolan Koblischke, Jo Bovy
NeurIPS 2024 Workshop: Foundation Models for ScienceA Transformer-based model capable of processing stellar spectra across any wavelength range.
Nolan Koblischke, Richard I. Anderson
Astrophysical Journal, 2024Discovered that pulsation impacts the TRGB in the SMC as in the LMC, with older, longer period pulsators leading to a highly accurate TRGB tip measurement.
Richard I. Anderson, Nolan Koblischke, Laurent Eyer
Astrophysical Journal Letters, 2024Discovered that red giant pulsation adds a new dimension of the TRGB method, leading to an enhanced method for measuring the Universe's expansion rate.
Featured in: EPFL News, Space.com, Universe Today, Phys.org, Tech Explorist, MyScience
Nolan Koblischke
OpenAI GPT StoreMaking 2 billion stars queryable through conversation. Reached 68,000+ viewers and used thousands of times.
UniverseTBD & AstroCoder (10:00-)
Theory + AI Symposium, Perimeter Institute
Gravity Bench: A Benchmark on Gravitational Physics Discovery for Agents
ESO Natural Language Processing in Astronomy
Gravity Bench: A Benchmark on Gravitational Physics Discovery for Agents
NLP for Space Science Workshop, ESA/ESAC, Madrid
SpectraFM: Tuning into Stellar Foundation Models
AstroAI Workshop, Harvard-Smithsonian CfA
ChatGaia: Talk to the Gaia Archive in Natural Language
Debating the Potential of Machine Learning in Astronomical Surveys, Flatiron