Timothy Kassis
@TimothyKassis
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Head of AI @biostateai | Ph.D. in Bioengineering. Previously @matterworks_bio, @MIT, @GeorgiaTech and @UniofNottingham.
Palo Alto, CA
Joined December 2020
RT @jrkelly: Excited to launch our 1st Antibody Developability AI competition today on @huggingface ! . Show off your model’s ability to p….
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RT @garrytan: What a time to be working on healthcare AI.
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RT @adityagp: New research agenda we're kickstarting at Berkeley: redesigning data systems to serve the dominant workload of the future: ag….
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RT @RyanLi0802: 🚀 Excited to share Biomni-R0 — our state-of-the-art RL agent that excels in a wide range of biomedical tasks. It was a wil….
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RT @KexinHuang5: 🚀 Thrilled to share a preview of Biomni-R0 — we trained the first RL agent end-to-end for biomedical research. ➡️ nearly….
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Why does every single LLM client have a different way of defining and adding MCP servers. Can we standardize it please?.
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RT @huang_chao4969: Excited to launch "Novix"🚀, our PhD-level AI-Scientist designed for autonomous scientific discovery. Novix revolutioniz….
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RT @SakanaAILabs: What if we could evolve AI models like organisms in nature, letting them compete, mate, and combine their strengths to pr….
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New research provides the most comprehensive analysis of Agentic AI frameworks to date, establishing a foundational taxonomy for autonomous AI systems and identifying critical design challenges. The authors propose key research directions for enhancing scalability and robustness.
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How does California with it's unlimited sun have one of the highest electricity prices in the US?.
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Major survey asks: 'How Far Are AI Scientists from Changing the World?' Answer: Closer than expected. AI papers accepted at top venues, but bottlenecks in autonomous discovery remain. Comprehensive analysis of what's needed for breakthrough scientific AI.
arxiv.org
The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taking the lead in...
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Check out our new preprint from our @biostateai summer intern, Summer Zhou.
biorxiv.org
Tabular Prior-Data Fitted Networks (TabPFN) demonstrate remarkable performance on small-to-medium tabular datasets through in-context learning, but struggle with high-dimensional genomic data such as...
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RT @james_y_zou: 🚀Exciting news! We will award 3 Best Papers at #Agents4Science — the 1st conference where the main authors + reviewers are….
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RT @andrewwhite01: I've written up some thoughts on publishing for machines. 10M research papers are published per year and there are 227M….
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Meet K-Dense Analyst: our new multi-agent research powerhouse from @biostateai for tackling the toughest computational challenges. In this demo, it crushes @FutureHouseSF BixBench, powered by Gemini 2.5 Pro + Google ADK, redefining what’s possible in scientific discovery.
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RT @SGRodriques: We are looking to hire an outstanding UI/UX designer with strong front-end engineering skills to reimagine how researchers….
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RT @KexinHuang5: 🔗@ProjectBiomni now supports MCP! .Now you can have a real research assistant to share analysis results with Slack/email,….
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