I support research teams in developing manuscripts, grants, and scientific materials with precise reasoning, internal consistency, and review resilience.
Manuscripts that are scientifically sound but fail under reviewer scrutiny
Internal inconsistencies between figures, text, and interpretation
Arguments that are correct but not defensible as written
Reviewer comments that stall progress and consume months
Severe time pressure that forces compromises in clarity or rigor
In research settings, scientific writing and editing are often treated as a final polishing step, focused on wording, formatting, or compliance with submission requirements. In reality, writing is where rigor is either preserved or quietly lost.
Ambiguities, minor inaccuracies, and unresolved inconsistencies introduced at this stage can alter interpretation, weaken claims, or create vulnerabilities during peer review.
Rigor-first practice grounds methods, analyses, figures, and conclusions in coherent reasoning and sound theory, ensuring every claim follows logically and withstands scrutiny during peer review and decision-making.
Science writing is where accuracy is actively protected. I help teams assess where precision is required, where uncertainty should be stated, and how claims should be proportioned to evidence.
Complex reasoning will be distilled into concise language that preserves rigor while improving readability, ensuring arguments are easy to follow, resilient to critique, and efficient for reviewers to evaluate.
Through structured collaboration, I help research teams converge on clear, defensible language under deadlines, revisions, or competing inputs, maintaining coherence without sacrificing scientific standards.
My writing and editorial work is grounded in peer-reviewed research. Selected publications include:
Due to confidentiality and authorship norms, many editorial and grant materials cannot be shared publicly.
Rigor-first and reliably fact-checked science writing and editing supports leaders working with complex evidence by strengthening internal consistency, interpretive discipline, and shared understanding.
Ri Xu, PhD provides evidence-based scientific writing and AI-assisted workflow support for science-led organizations and technical teams. Her work strengthens scientific rigor, reasoning accuracy, and clarity in fast-moving environments where small errors or poorly used AI tools can undermine good science.
Based in Montreal and working internationally, Ri partners with scientists, lab leaders, and technical professionals to translate complex work into clear, defensible communication and efficient, rigor-first workflows. Backed by an engineering PhD and over four years of experience, she helps teams use AI critically without compromising scientific standards.