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    [ zayd k. ]
    

about:zayd khan

zayd khan // 25

zayd khan is a bio researcher and machine learning practitioner. protein design, computational biology, bioinformatics, and bio ai — biology (ucsc '23), everything else home grown.

i study complex systems, build physical/digital infrastructure, and occasionally break things to see how they work.

most recently: part of MRAZS, top 2 in the adaptyv × bioarena trem2 protein-binder competition (2026). the team's best human-designed binder hit 1.11 nM affinity — about 3× stronger than the best ai-agent-designed binder in the same run. binders by hand still beat the bots.

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mechanics & interests:

rapid prototyping, woodworking, 3d printing, robotics, kickboxing, archery, motorcycles, snowboarding, skateboarding, cooking, investing, and backcountry camping.

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timeline:

2026 building things, trem2 protein design top-2 finish
2025 bio research + ml, building things
2024 bio research + ml @ tech
2023 graduated ucsc, biology
2020 started @ ucsc
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faq:

who is zayd khan?
a bio researcher and machine learning practitioner. biology @ ucsc ('23), now working across protein design, computational biology, bioinformatics, and bio ai — building open tools like hooke, plus writing and projects here at zayd.wtf.

what does zayd khan work on?
protein design and machine learning for biology — protein-binder design, mutation analysis, and comp-bio tooling — plus the engineering and software i build and share publicly.

what is zayd khan known for?
placing top 2 (as part of MRAZS) in the adaptyv × bioarena trem2 protein-binder competition (2026), where the team's best human-designed binder reached 1.11 nM — about 3× stronger than the best ai-agent binder.

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socials:

twitter/x // instagram // github // linkedin

contact:

[email protected] // [email protected] // [email protected] // [email protected] // [email protected] // [email protected]

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more: contact // how to reach me and what gets a reply. privacy // exactly what this site collects, which is very little.