27 citations · 48 across the 5 of their papers we have counts for
3 papers · 1 filter
Enhancing reinforcement learning for population setpoint tracking in co-cultures
Sebastián Espinel-Ríos, Joyce Qiaoxi Mo, Dongda Zhang +2
Efficient multiple setpoint tracking can enable advanced biotechnological applications, such as maintaining desired population levels in co-cultures for optimal metabolic division…
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
Sebastián Espinel-Ríos, José Montaño López, José L. Avalos
This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and…
Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis
Sebastián Espinel-Ríos, José L. Avalos
Metabolic cybergenetics is a promising concept that interfaces gene expression and cellular metabolism with computers for real-time dynamic metabolic control. The focus is on contr…