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LOCATION CHANGE: Normally we meet at the Clifton Branch Library, but we'll be meeting at the Hyde Park Library due to availability issues.

High-dimensional chemical data offers detail but defies human intuition. To navigate it, we must compress it. This presentation synthesizes findings from two pivotal studies (Lovrić et al. & Orlov et al.) to provide a decision matrix for modern cheminformatics: when to embed for the machine (prediction) and when to embed for the eye (insight).

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Presentation for cheminformatics researchers on embedding chemical data for machine learning vs human insight, delivering an embedding decision matrix.

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