Faculty rank
- Regents Professor of ChemistryDistinguished Professortenure-track
- Smith Family Endowed ChairProfessortenure-track
- Research Assistant Professornon-tenure-track
Cevian Labs builds products that understand academic data and rapidly verify its accuracy against the public record.
Every Cevian Labs product runs on CVParsa, our engine for academic CVs. CVParsa understands each entry the way academics do, then verifies it against the public record.
Built by researchers who have studied academic careers since 2015, including 24 papers together on the science of science. About us
CVParsa maps the many ways academics write the same thing onto one standard form, and puts every entry in its proper category.
CVParsa then checks every record it can against the public record, and notes where each one was confirmed.
Entries that can't be confirmed are kept as the CV states them, and marked unconfirmed.
A short walk through one faculty CV, and how CVParsa compares with a general-purpose chatbot.
Click the slides or use the arrow keys to step through at your own pace. Open full screen · Full walkthrough
| Task | General-purpose chatbot (ChatGPT, Claude) | CVParsa |
|---|---|---|
| Read one CV and summarize it | Does this well | Does this well |
| Apply the same fields and vocabulary to every CV in a pool of hundreds | Output varies between runs | One schema, fixed academic vocabularies |
| Know that a fellowship title can be a postdoc, and that a CAREER award is both an honor and a grant | Inconsistently | Applied the same way to every CV |
| Count publications | Depends on how the question is asked | Publications counted by type; preprints and patents kept separate |
| Confirm each record against Crossref, NSF, NIH, and Cevian Labs databases | Not systematically, and prone to inventing citations it cannot find | Every record states which authority confirmed it, or that none did |
| Handle confidential applicant files | Consumer accounts raise data-governance questions | Encrypted, never used to train AI models, originals deleted within 30 days |
Each product puts CVParsa to work on a different academic task.
Jump-start the selection process. CVParsa understands and verifies the whole applicant pool in minutes, and returns an overview spreadsheet listing every applicant with selected verified information.
Detailed, structured records for academic research, with publications, grants, and honors checked against the public record. Available to researchers by authorization code.
A free draft of your NSF Collaborators and Other Affiliations form, built from your CV. Edit it online, then download the spreadsheet for your proposal.
The CVParsa engine inside your own platform: structured, verified academic data for talent and research systems.