Papers
2
Total Citations
245
H-Index
2
About
Anupreeta More is an astrophysicist at the forefront of gravitational lens discovery, blending machine learning with citizen science to unlock the secrets of the cosmos. Her key research areas include strong gravitational lensing, galaxy evolution, and the application of deep learning to astronomical surveys. More's major contributions are pioneering: she was among the first to train convolutional neural networks (CNNs) to identify strong lenses in large imaging datasets, as demonstrated in her highly cited 2017 paper (130 citations), which revolutionized lens detection in the CFHTLS. Complementing this, she co-led the Space Warps citizen science project, whose 2015 paper (115 citations) reported 29 promising new lens candidates from over 11 million public classifications, showcasing the power of crowdsourced discovery. With over 245 combined citations from these two flagship works alone, More’s impact is clear: she has expanded the known lens population, enabling studies of dark matter and galaxy mass distributions. Her work exemplifies how innovative methods—from neural networks to public engagement—can accelerate discovery in modern astronomy, making her a trailblazer in computational astrophysics.
Research Focus
Key Achievements
Top Papers
- 1Finding strong lenses in CFHTLS using convolutional neural networks130 citations · 2017
- 2