activity
20152026
most citedAccelerating scientific discovery with Co-Scientist

87 citations · 90 across the 5 of their papers we have counts for

collaborators

5 papers

math.NT2026

Extremal Chowla sets and their linear analogues: A human-AI mathematical investigation using Co-Scientist

Mohsen Aliabadi, Keith Driscoll, Elliot Krop +3

We introduce an extremal invariant associated with Chowla-type order conditions in finite groups. A nonempty subset of a finite group is called a Chowla set if every elemen…

cs.AI2026★ 2 cited

An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

Yubin Kim, Salman Rahman, Samuel Schmidgall +33

Wearable devices generate continuous physiological and behavioral data, but converting these signals into clinically reviewable biomarker hypotheses remains labor-intensive. We int…

cs.HC2026★ 1 cited

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

Peter Brodeur, Jacob M. Koshy, Anil Palepu +45

Large language model (LLM)-based AI systems have shown promise for patient-facing diagnostic and management conversations in simulated settings. Translating these systems into clin…

cs.AI2025★ 87 cited

Accelerating scientific discovery with Co-Scientist

Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48

Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce C…

math.NA2015

Subspace acceleration for large-scale parameter-dependent Hermitian eigenproblems

Petar Sirković, Daniel Kressner

This work is concerned with approximating the smallest eigenvalue of a parameter-dependent Hermitian matrix for many parameter values . The design of reli…