Researching machine learning for systems that can keep learning.
I am Anika Singh, an Ontario-based machine-learning researcher and educator. My work explores ML optimization, continual learning, and AI for climate.
Selected highlights
- 01
Researching ML optimization and reliable learning systems.
- 02
Published on continual learning and mitigating catastrophic forgetting.
- 03
Exploring AI x climate alongside core ML research.
- 04
Teaching math and STEM while continuing to learn in public.
- 05
Sharing reproducible research code through GitHub.
Work & research
Writing & research
- ACL Anthology2025
Mitigating Forgetting in Continual Learning with Selective Gradient Projection
On my shelf
- The Bitter Lesson — Rich Suttonessay
- The Timeless Way of Building — Christopher Alexanderbook
- Deep Learning with PyTorch — Stevens & Antigabook
- How to Do Great Work — Paul Grahamessay
How I work
Research with rigor
I care about clear questions, careful experiments, and results that other people can build on.
Learning is shared
Teaching and research reinforce each other. Explaining an idea clearly is part of understanding it well.
Build in the open
Open code makes research more useful, more reproducible, and easier for the next person to extend.
Let's talk