2023 AIChE Annual Meeting

Session: Enabling Technologies through Data-Rich Experimentation and Process Modeling

Chair

McMullen, J., Merck & Co.

Co-Chairs

Agrawal, P., Eli Lilly & Company
Behre, T., Merck

Presentations

12:30 PM

(640a) A Cost-Effective High-Throughput Robotic System for Slurry Separation and Polymorph Characterization
Wang, Y., Li, H., Jiang, Q., Henry, M.

12:51 PM

(640b) Vision-Guided, High-Throughput Liquid-Liquid Extraction Screening
Sun, A., Jurica, J., Grosser, S. T.

01:12 PM

(640c) Bayesian Optimization Using Dynamic Experiments
Florit, F., Zahrt, A., Jensen, K.

01:54 PM

(640e) Utilizing Data-Rich Experimentation to Build a Kinetic Model for Drug Substance Synthesis
Crawford, M., Corry, J. P., Kuhl, N., McMullen, J., Luo, H., McQuilken, A., Wang, Z.

02:15 PM

(640f) Parameter Estimation and Estimability Analysis in Pharmaceutical Models with Uncertain Inputs
Moshiritabrizi, I., Abdi, K., McMullen, J., Wyvratt, B. M., McAuley, K. B.

02:36 PM

(640g) Kinetic Modeling to De-Risk Process Changes As a Part of Life-Cycle Management
Joe, C., Purdum, G., Braem, A., Nye, J. A.