83 Sciences
New accelerator entry · 2026-07-06 · the record
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83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.
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New accelerator entry · 2026-07-06 · the record
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83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.
Read from the page's own HTML and response headers on 10 September 2026, at https://83sciences.ai/. Each badge matched a string the site serves about itself — hover one to see which. Nothing here is a traffic, ranking or revenue figure: those cannot be read off a page and are not claimed.
83 Sciences lists 3 open roles on its directory entry.
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83 Sciences turns the world's unused experimental data into the materials and manufacturing processes powering the next industrial revolution.
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Founder at 83 Sciences developing the future of scientific discovery. Previously a fellow at MIT focused on commercializing IP out of the ecosystem, a strategy manager at Sila Nanotechnologies (battery materials unicorn), and a consultant at Boston Consulting Group. Hold a BS and MS in Chemical Engineering from Stanford and MBA from Harvard Business School.
Founder at 83 Sciences. Experimental chemist and ML researcher with a PhD in inorganic chemistry from MIT, where I built machine learning systems to analyze complex materials data in minutes instead of days. My research spans quantum materials, generative models, and experimental data analysis, including one of the first generative approaches for chemical experimental data. BA in Chemistry from Columbia.
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Example from a real report (our sample on Target): “Target eliminated approximately 1,800 corporate positions, with around 1,000 employees receiving layoff notices and the remainder accounted for by eliminating open roles.” Source: NBC News
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