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Xiaopeng Xu, Ph.D.

Research Scientist @ KAUST · Agentic AI for scientific discovery, protein design & synthetic biology

Recent News

  • Sep 23, 2026, my Co-I Shaheen III Grand Challenge Project proposal on “Multi-Scale AI-MD-QM/MM Platform for Next-Generation Biologics Design” was appproved on Shaheen III GPU! Cheers!
  • Aug 2, 2026, my Co-I Translational Research Grants (TRG2026) on AI-based protein design solutions for industrial biologics and medical applications was funded by KAUST! ~1 million USD fund to support our research! Cheers!
  • Jun 23, 2026, started as a Research Scientist at SFB@KAUST.
  • Jun 8, 2026, Mater-trends — to track researches on material science — up and alive.
  • Jun 3, 2026, AI-trends — to track research trends on artificial intelligence — and Bio-trends — to track researches on bioscience — up and alive.
  • Mar 25, 2026, the first tool buddle in MacromNex, ProteinMCP — an agentic AI framework for autonomous protein engineering, published in Protein Science!
  • Mar 24, 2026, SegDesign — a framework for protein segment engineering — published in Protein Science.
  • Jan 22, 2025, AggNet — a Deep Learning method for protein aggregation prediction — published in Protein Science.
  • Oct 3, 2024, AutoBA — for multi-omics analysis with Agentic AI — published in Advanced Science.
  • Jul 18, 2024, SANTO — a method for alignment and stitching in spatial omics — published in Nature Communications.
  • Jun 12, 2024, HELM-GPT — de novo macrocyclic peptide design — published in Bioinformatics!
  • Jun 23, 2024, started as a Postdoctorate Research Fellow at SFB@KAUST.
  • May 13, 2024, my Co-I Shaheen III proposal on “Molecular dynamics simulations-enhanced AI for enzyme design and optimization” was appproved on Shaheen III CPU! Cheers!
  • May 5, 2024, defended my Ph.D Dissertation — “A ChatGPT-like solution for protein design: combining generative and predictive AI to design functional proteins”! Cheers!
  • Jun 28, 2023, SGPT-RL — for chemical drug design with GPT and RL — published in F1000Research!
  • Feb 20, 2023, AB-Gen — for antibody with GPT and RL — published in Genomics, Proteomics & Bioinformatics!
  • Nov 11, 2021, an AI guided review of 17 000 studies in COVID-19 computational research published in Briefings in Bioinformatics

Recent Notes

博士科研训练总结

总结

这个科研训练是个长期积累的过程。可能自己的经历不同,感受会有差异。

如果要完成博士学业,拿到学位。核心技能包括:

  1. 时间管理能力: 平衡上课和科研,家庭和学业,文献阅读、实验和写作。核心是日历管理。