معرفی
Oana Ignat is a Tenure-Track Assistant Professor in the Computer Science and Engineering (CSE) department at Santa Clara University (SCU), School of Engineering. She holds a Ph.D. in Computer Science from the University of Michigan (2022) and completed a postdoctoral fellowship there (2023–2024). Her research focuses on the intersection of Natural Language Processing (NLP) and Computer Vision (CV), emphasizing equitable AI models and social impact applications. She co-organizes workshops like NLP4PI (EMNLP 2024) and leads initiatives to improve diversity in CS through outreach programs such as ACL Mentorship.
Research interests include AI for social good, inclusive language-vision models, and multicultural dataset development. Recent work addresses annotation cost optimization, cross-cultural inspiration detection, and socio-economic bias in AI systems. She advocates for ethical AI practices and collaborates with industry (Amazon, Meta) and academia. Her lab at SCU supports PhD students pursuing socially impactful projects.
Education: Ph.D. Computer Science, University of Michigan (2022); Postdoc, University of Michigan (2023–2024); Undergraduate: Disparity image segmentation research at Robert Bosch (2015–2016).
