第435回化学システム工学専攻公開セミナー Why Models Need Data: Ensuring Reliability in Pharmaceutical Process Design
- 日時
- 2025年10月14日（火）13:00-15:00
- 場所
- 工学部3号館6階大会議室1&2
| 講演題目 | Why Models Need Data: Ensuring Reliability in Pharmaceutical Process Design |
|---|---|
| 講演者 | Dr. Salvador Garcia Muñoz Executive Director Engineering, Product Research & Development Eli Lilly and Company |
| 概要 | Pharmaceutical development increasingly relies on mechanistic models to guide process understanding, optimization, and regulatory communication. However, models do not exist in isolation—they are inherently dependent on data. This talk explores the symbiotic relationship between data and models, emphasizing how uncertainty in data propagates through parameter estimation and ultimately affects the reliability of design spaces derived from models. Rather than viewing uncertainty as a limitation, we highlight how a thoughtful characterization of data variability enables the construction of realistic models with the appropriate level of granularity—models that are not only scientifically sound but also practically useful for decision-making and regulatory confidence. |
| 世話人 | 杉山 弘和（内線：27227） |