AI & ML interests

Planetary causal inference // Text-based AI systems // Adversarial dynamics

Recent Activity

cjerzak 
posted an update about 1 month ago
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>>> We're writing a new book, <Planetary Causal Inference>, on how to model counterfactuals at planetary scale by combining satellite imagery + other global data with local studies and RCTs. Forthcoming in 2026+.
>>> Book info: https://planetarycausalinference.org/book-launch
>>> All datasets used in the book will be openly available on our lab’s Hugging Face hub:
theaidevlab

cjerzak 
updated a Space about 2 months ago
cjerzak 
posted an update 3 months ago
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Excited to share LinkOrgs Online, a web app hosted here on HF for embedding and linking organization names using character-level Transformer encoder models trained on half a billion scraped LinkedIn records.

Upload CSVs or paste text, generate 1024D embeddings (v1–v4), PCA viz, and download results!

Try it: cjerzak/LinkOrgs_Online

Details/paper: https://connorjerzak.com/linkorgs-summary/

Training/inference code: https://github.com/cjerzak/LinkOrgs-software
cjerzak 
posted an update 5 months ago
cjerzak 
posted an update 5 months ago
cjerzak 
posted an update 5 months ago
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2355
Dropped a dataset on here for linking org data: half a billion records scraped from LinkedIn networks. Positive/negative matches, bipartite graphs, Markov clusters – all the goods to train models that actually work on fuzzy company names.

NegMatches, PosMatches, holdouts for eval.

Check it out: cjerzak/LinkOrgs