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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Posts
Fork Intelligence: How I Exploited a Public-Fork Hackathon (and Why You Should Know About It)
Published:
At a Google DeepMind x Cactus Compute hackathon, I used Claude Code to scrape every competitor’s fork, benchmark all 45 modified solutions, and synthesize a top-scoring submission from the best of them. This is a vulnerability disclosure.
How We Won a BCI Hackathon: Decoding Brain Signals on the Edge
Published:
Team MindMeld placed 1st at BrainStorm 2026 by decoding 1024-channel brain recordings in real-time on edge hardware. Here’s the full technical breakdown of our winning approach.
ChatMerge: What If You Could Merge AI Conversations?
Published:
If you use AI chat tools regularly, you’ve run into this. You have two or three conversations going in parallel, maybe originally about different things, and at some point you realize they’ve converged. You want one chat to be able to see what you discussed in another. But there’s no way to do that. The conversations are siloed. You can copy-paste context across windows, but that’s tedious and lossy. You can try to summarize one chat and feed it to another, but you lose nuance.
Using Claude Code to Improve Claude Code: Two Skills That Keep Me Sane
Published:
I’ve been using Claude Code heavily for the past few months — for research projects, web apps, scripts, even writing. And I completely get it now when the creators say they’re using Claude Code to build Claude Code. Once you start working with it seriously, the meta-loop becomes impossible to ignore.
Towards the Platonic Representation via Multimodal Contrastive Alignment
Published:
MIT Deep Learning final project exploring whether pre-trained unimodal encoders can be aligned into a shared multimodal latent space using lightweight adapters.
portfolio
Towards the Platonic Representation via Multimodal Contrastive Alignment
MIT Deep Learning final project exploring multimodal representation learning through contrastive alignment of frozen encoders.
HKN Graduate Research Spotlight
Neural Computation in C. elegans
Interdisciplinary Emergence
Diverse Perspectives. Strong Science. 
Bernstein Conference 2024 Poster
Unified C. elegans Neural Activity and Connectivity Datasets for Building Foundation Models of a Small Nervous System
Envisioning the Future of Computing Prize
Honorable Mention for visionary essay on ethical identity and future digital selves, awarded by MIT SERC.
session-merge: Claude Code Session Merger
A skill and CLI tool for merging split Claude Code sessions back into a single continuous conversation history.
publications
To Reverse Engineer an Entire Nervous System
Published in arXiv, 2023
This preprint presents a comprehensive approach to reverse engineering the complete nervous system of C. elegans.
Recommended citation: Haspel, N., et al. (2023). "To Reverse Engineer an Entire Nervous System." arXiv.
Download Paper
Scaling Properties For ANN Models of a Small Nervous System
Published in IEEE Xplore, 2024
This paper explores scaling properties of artificial neural network models applied to the C. elegans nervous system.
Recommended citation: Simeon, Q., et al. (2024). "Scaling Properties For ANN Models of a Small Nervous System." IEEE Xplore.
Download Paper
talks
Using C. elegans as a Platform for Multimodal Neural Data
Published:
This talk explores how the nematode C. elegans presents an opportunity for integrating multiple dimensions of neural function. With only 302 neurons, complete connectome mapping, optical transparency, and genetic tractability, C. elegans enables comprehensive study across three fundamental modalities: molecular genetic profiles, network connectivity, and neural activity dynamics.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
