Mike Walmsley
Scholar

Mike Walmsley

Google Scholar ID: mfQ57x8AAAAJ
Postdoctoral Researcher, University of Manchester
Deep learning. Citizen Science. Galaxy morphologygalaxy evolutionmergerstidal features.
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Citations & Impact
All-time
Citations
1,477
 
H-index
19
 
i10-index
28
 
Publications
20
 
Co-authors
0
 
Contact
Emailm.walmsley@utoronto.caTwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
5 items
Spatio-Spectroscopic Representation Learning using Unsupervised Convolutional Long-Short Term Memory Networks
2026
Cited
0
Pre-training vision models for the classification of alerts from wide-field time-domain surveys
2025
Cited
0
DataS^3: Dataset Subset Selection for Specialization
2025
Cited
0
Sparks of Science: Hypothesis Generation Using Structured Paper Data
2025
Cited
0
SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks
2025
Cited
0
Resume
Academic Achievements
  • Published articles on HDBSCAN parameters, hooks in PyTorch Lightning v2, typesetting figures for MNRAS, and towards galaxy foundation models.
Research Experience
  • Involved in the Zoobot v2 project, researching new foundation models for galaxy morphology; developed a Dunlap Fellowship plan focusing on detailed morphology in Euclid and Rubin.
Background
  • I like solving interesting problems with data. Currently using deep learning to understand galaxy evolution.