Liz Zimmerman

Data Scientist @RTX

Dual focus on applied research for RTX business initiatives and publishing novel research. Research initiatives include time-to-event modeling for predictive maintenance applications, overcoming data scarcity or extreme class imbalance for multivariate time series, and data-driven modeling of degradation in physical systems. Second author for publication titled \"Providence - a Deep Learning Framework for Time-to-Event Prediction,\" accepted for 2022 Aerospace Conference.