Shilpa Kapur Singh — working notes Boston, MA
Shilpa Kapur Singh
applied neuroscientist · education leader · founder

AI will either build human capability or quietly erode it. That's not a prediction — it's a design decision. Most schools are making it by accident.1

Fifteen years engineering education that demonstrably works — curriculum, assessment, and the unglamorous systems underneath. The gap between what learning science knows and what schools actually do is the problem I keep returning to. AI has made it urgent.

I treat AI as the next great research science, and applied neuroscience as the discipline that decides what it does to us. I build it, run it in real schools, and publish what actually happened — at The EdJournal. Currently finishing an MSc in Applied Neuroscience at King's College London.

Shilpa Kapur Singh
that's me
most schools have
already decided.
they just haven't
noticed yet.

§1 Selected work

Fig. 1 — Flagship · iterated across four model generations

AI by Design

A year-long body of work on AI in education: a framework, a position paper, a state-of-use review — culminating in a complete K–12 AI curriculum, designed end to end. Rebuilt each time the models moved.

the grading bias
turned out to be
the interesting part
Fig. 2 — Research · adversarial, on purpose

Stress-testing AI on high-stakes assessment

Trained an AI grading system on real exam papers and anonymized student responses, then went looking for where it was wrong. Where it breaks is the finding.2

Fig. 3 — Shipped · in classrooms, not slide decks

AI teaching assistants

A chemistry assistant producing the full teaching content stack — lesson plans, differentiated tasks, guidance through complex practical work. Built it, put it in front of teachers, rebuilt it around what they actually needed.

§2 Observations

every number here
has a story where
it nearly didn't work
350+
practitioners trained across a multi-site trust
70%
of teacher planning time removed via AI workflows
4
continents reached by a venture built from nothing
80%
of a 250-student cohort met or beat targets, two years running
1
TEDx talk arguing grades don't matter. Still the argument I'd start with.

§3 Where I've been

§4 Grounding

§5 Where the work lives

§6 Get in touch

Advisory, speaking, collaboration — or an argument about where AI and learning are actually going. I'd rather have the argument.

Open to the interesting

1.Which is still a decision. It just isn't one anybody wrote down.

2.The model was confidently wrong in a beautifully consistent pattern. That pattern is now a human-in-the-loop check.

3.A global business unit needed to be taught something. Nobody called it learning design. It was.