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Ian Johnson

Data Alchemist

Ian Johnson is a Data Alchemist known for his insightful contributions on https://enjalot.substack.com/. He holds a Master's degree in Scientific Computing and a Bachelor's degree in Applied and Computational Mathematics and Chinese Language from Florida State University.

With a diverse career history, Ian has held prominent roles at various organizations. He has served as the Chief Data Alchemist at Latent Interfaces LLC, a Staff Software Engineer at Stability AI, a Senior Data Visualization Developer at Observable, a User Experience Engineer at Google, a Data Alchemist at Lever, a Software Engineer at visual.ly, a Summer Student Intern at Lawrence Berkeley National Laboratory, a Teaching Assistant at Florida State University, and a Co-Founder and Developer at Cloud Carpenters LLC among other positions.

His expertise spans across data analytics, software engineering, data visualization, user experience engineering, and geographic information systems. Ian's background includes practical experience in programming, computational mathematics, and microscopist work.

Ian Johnson is a dynamic professional with a strong educational foundation and a wealth of experience in the tech industry, making him a valuable asset in any data-driven environment.

Highlights

May 9 · twitter

html explainers have been pivotal for me and my team in keeping up with the complexity we are unleashing. I have found building up a skill helps deal with the repeated slop/formatting issues. I made https://t.co/fmpn4m1Pax for better technical explainers

Feb 20 · twitter

ok, so what if we have an SAE and we map the 25k features as dots with UMAP (left). then we take a given dataset, lets say 50k dad jokes from reddit and we size each feature by how many rows activated it and color it by the average activation (darker is more activated) (right) https://t.co/vqSCEMa2Kh

ok, so what if we have an SAE and we map the 25k features as dots with UMAP (left). then we take a g
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Location

Suwanee, Georgia, United States