معرفی
Daphne Ippolito serves as an Assistant Professor at Carnegie Mellon University's Language Technologies Institute (LTI) within the School of Computer Science. Her institutional affiliations include:
- Primary Appointment: Language Technologies Institute (LTI)
- Affiliate Positions: Machine Learning Department and CyLab Security & Privacy Institute
- Industry Role: Senior Research Scientist at Google DeepMind
She earned her Ph.D. in Computer Science from the University of Pennsylvania in 2022 with a dissertation titled "Understanding the Limitations of using Large Language Models for Text Generation," co-advised by Professor Chris Callison-Burch and Google Brain's Douglas Eck.
Dr. Ippolito's research centers on critical tradeoffs in neural language model applications, with emphasis on privacy vulnerabilities, security risks, and evaluation methodologies for text generation systems. She investigates how training data composition affects model capabilities and develops frameworks for realistic system assessment. Her work extends to AI-in-the-loop assistive writing tools that enhance human creativity while addressing ethical constraints. Current projects focus on mitigating data leakage risks and establishing robust evaluation standards for generative systems.
No scientific awards were explicitly documented in the source materials.
She advises graduate students Harshita Diddee, Yiming Zhang, and Barry Wang while teaching advanced courses on large language models. Dr. Ippolito actively contributes to the CMU Foundation and Language Model (FLAME) Center, organizing research initiatives that bridge academic and industry collaboration. Her CyLab affiliation drives security-focused language technology research.
Her operational base includes the Gates & Hillman Centers (room 6407) with strict communication protocols for research collaboration inquiries, particularly emphasizing structured outreach from prospective CMU students.
