Scholar
Kate Sanders
Google Scholar ID: VJFrfM0AAAAJ
PhD student, Johns Hopkins University
Citations & Impact
Citations
239
H-index
10
i10-index
10
Publications
20
Co-authors
0
Resume (English only)
Academic Achievements
- Main research areas include benchmarks for complex visual event understanding and interpretable and factually accurate reasoning systems. Representative papers: 'MultiVENT: Multilingual Videos of Events with Aligned Natural Text' (NeurIPS 2023 D&B), 'Grounding Partially-Defined Events in Multimodal Data' (EMNLP 2024 Findings).
Research Experience
- Interned at AWS designing reward functions to train reasoning models, mentored by Nathaniel Weir; Co-organized and facilitated the SCALE 2024 Summer Research Workshop at HLTCOE; Conducted robotics research at the UC Berkeley AUTOLab.
Education
- Ph.D. student in AI at Johns Hopkins University, advised by Professor Benjamin Van Durme; BA in Computer Science from UC Berkeley, advised by Professor Ken Goldberg.
Background
- Currently on the industry job market, looking for a full-time research role in industry that centers reasoning systems and NLP. Particularly interested in multimodality (image and video), AI for science, evaluation, factuality, and retrieval.
Miscellany
- Looking for a full-time research role in industry.
Co-authors