AI Scientists powered by ToolUniverse @ Harvard

@ScientistTools

Democratizing AI scientists using ToolUniverse @Harvard

Harvard

aiscientist.tools

Joined September 2025

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486 Followers

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AI Scientists powered by ToolUniverse @ Harvard
@ScientistTools
Jan 12
Excited to share a collaboration with Anthropic on adding connectors to ToolUniverse @ScientistTools to make Claude more powerful for scientific discovery Claude can now directly connect to ToolUniverse for analyses in preclinical research (including computational biology,
Advancing Claude in healthcare and the life sciences
From anthropic.com
AI Scientists powered by ToolUniverse @ Harvard
@ScientistTools
Oct 10
Great to see a large turnout at the @ScientistTools x @harvardmed workshop on how to build AI agents for science using ToolUniverse Here are our materials: github.com/ccb-hms/toolun… By @Reza_Shamji, @_yepeng, @xiaorui_su, and Grey Kuling
AI Scientists powered by ToolUniverse @ Harvard
@ScientistTools
Oct 10
Auto setup of GPU environments, so @ScientistTools agents can call ML models on complex biological datasets and use outputs in discovery campaigns. In @AnthropicAI × @adaptyvbio Protein Design Challenge, these features let agents run campaigns using dozens of models like
Marinka Zitnik
@marinkazitnik
Oct 10
Exciting new features in ToolUniverse @ScientistTools: auto setup of GPU environments, so agents can call ML models on complex biological datasets and use outputs in discovery campaigns. By stellar @GaoShanghua in collab with @NVIDIAAI aiscientist.tools/posts/egfr-pro… In the
AI Scientists powered by ToolUniverse @ Harvard
@ScientistTools
Oct 9
Put ToolUniverse to work on your Anthropic × Adaptyv Protein Design Competition entry, with minimal setup!
Shanghua Gao
@GaoShanghua
Oct 9
To support researchers participating in the Anthropic × Adaptyv Protein Design Competition, we’re sharing our EGFR design exploration, methods, data, and a reusable ToolUniverse Protein Design Campaign skill. aiscientist.tools/posts/egfr-pro… ToolUniverse now brings together 2,900+
AI Scientists powered by ToolUniverse @ Harvard
@ScientistTools
Sep 25
Really curious to see how far RSI-AutoScientists can push Jev-like models.
Shanghua Gao
@GaoShanghua
Sep 25
Jev-like System One models point toward far more efficient agentic systems. Yet how to train one is still anyone’s guess. That’s what we’ve been exploring, but with a twist: Can our next-gen RSI-AutoScientists do the exploring itself? The first result is out: RSI-Jev v1.0
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AI Scientists powered by ToolUniverse @ Harvard

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