iiinova — where your digital self keeps evolving

Reposted by Haopeng Xiao

Alex Gao @algao.bsky.social · 16/04/2026

Excited to share our new findings in @science.org on how the DRT3 bacterial defense system uses a reverse transcriptase that builds DNA repeats without a nucleic acid template. Microbes never cease to amaze! www.science.org/doi/10.1126/...

science.org

Science | AAAS

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Reposted by Haopeng Xiao

BrunetLab @brunetlab.bsky.social · 09/02/2026

Interested in the mechanisms of aging and 'rejuvenation'? Our lab at Stanford has a Research Assistant/Lab manager position open!! Apply and join our awesome team! 😎 (please share) careersearch.stanford.edu/jobs/life-sc...

careersearch.stanford.edu

Life Science Research Professional 1 in School of Medicine, Stanford, California, United States

The Brunet lab in the Department of Genetics at Stanford University (https://web.stanford.edu/group/brunet/) is seeking an independent and motivated.....

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Reposted by Haopeng Xiao

Ed Huttlin @edhuttlin.bsky.social · 12/11/2025

If you’re at #HUPO2025, be sure to stop by my poster and learn about the latest developments in the BioPlex project!

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Reposted by Haopeng Xiao

Nils Burger @nilsburger.bsky.social · 01/10/2025

Excited to share that I’ve started my lab as an assistant professor at the University of Texas Southwestern Medical Center in Dallas.  Thank you to all the mentors, friends, and colleagues who have supported me throughout the years!

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Reposted by Haopeng Xiao

Das Lab @rdaslab.bsky.social · 24/09/2025

The results are in: top codes in Stanford #RNA 3D Folding @kaggle.com competition are competitive with CASP16-leading humans Vfold, beat AlphaFold 3. Top team’s trick was template-based modeling, not #DeepLearning. Congrats: john, odat, Eigen, + all 1706 participants! www.kaggle.com/competitions...

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Haopeng Xiao @haopengxiao.bsky.social · 18/09/2025

We are seeking a life science research professional/technician (medcareers.stanford.edu/job/stanford...) and a postdoctoral fellow(postdocs.stanford.edu/prospective/...). If you are interested in using mass spec and machine learning to understand protein function and druggability please reach out!

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