I run a few research and engineering projects that I bring on collaborators for. These are real, in-progress efforts and a good way to ship meaningful work. If one fits your background, email me at david.gershony.7@gmail.com with your resume, the project you're interested in, and a few lines on why. I review every inquiry and reach out to those who are a strong fit.
Cognitive Similarity — research
Today's AI measures whether two pieces of text mean the same thing. We're hypothesizing a way to measure whether they feel the same to the human brain — using Meta's brain-response model (TRIBE v2) to capture things like mental effort and emotion that word-meaning alone misses. If it works, it's a new signal for content recommendation, readability, and understanding how media affects people. We've shown the brain signal diverges from standard embeddings; next we test whether the signal produces useful information, then ship a fast, distilled model anyone can use.
Looking for: Python, PyTorch, ML/NLP, an interest in neuroscience. [cogsimexperiment] [cognix]
EigenLayer AVS Authority Scorer — crypto / graph
Billions of dollars of Ethereum are staked on EigenLayer, yet there's no systematic way to know which operators and services are actually trustworthy — people currently go on yield, brand names, and gut feel. We treat the network as a graph and run a reputation algorithm so that an endorsement from a sophisticated operator counts more, surfacing the safest, highest-quality options before people put capital at risk.
Looking for: Python, graph algorithms, on-chain / web3 curiosity. [code]
Nomm — iOS
You trust your friends' taste more than a stranger's 4.2-star review. Nomm is a native iOS app that maps where your friends actually eat, turning your social circle into your restaurant guide — no anonymous reviews, no ads. Built in SwiftUI with MapKit and Supabase. The app is currently in beta testing on the App Store.
Looking for: Swift/SwiftUI, iOS, mobile design. [code]