Javier Rando Portfolio
Member of Technical Staff on Anthropic's Safeguards team and PhD candidate at ETH Zurich, whose research on jailbreak backdoors and data poisoning includes a NeurIPS 2022 Best Paper Award and a finding that just 250 poisoned documents compromise models regardless of model or dataset size.
Location
Didn't say. We're respecting the mystery.
Skills
What makes it work
A breakdown of the choices that make this portfolio stand out.
A one-line thesis framing the entire research agenda
Stating the work is about "figuring out what can go wrong when we deploy AI in real-world applications" gives every subsequent paper a shared throughline instead of reading as disconnected topics.
A counterintuitive, quantified finding stated plainly
Reporting that a fixed 250-document poison count compromises models "across all model and dataset sizes" is a specific, surprising claim that is far more memorable and citable than a vague "models can be poisoned" statement.
Competition results reported honestly, including the uncomfortable outcome
Stating that in the SaTML LLM Capture-the-Flag competition "all defenses were bypassed at least once" is an honest account of a negative result, which is more credible than only listing wins.
What AI Researchers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Write a one-line thesis for your research agenda and put it where a visitor sees it first — it turns a list of papers into a program.
When a finding is counterintuitive, state the specific number that makes it surprising rather than a qualitative summary.
Report negative or uncomfortable results (a defense that failed, a competition that exposed a weakness) alongside wins — it reads as more credible than only listing awards.
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