25 citations · 25 across the 4 of their papers we have counts for
4 papers
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference
Vincent D. Zaballa, Elliot E. Hui
Simulation-based inference (SBI) methods tackle complex scientific models with challenging inverse problems. However, SBI models often face a significant hurdle due to their non-di…
An Optimal Likelihood Free Method for Biological Model Selection
Vincent D. Zaballa, Elliot E. Hui
Systems biology seeks to create math models of biological systems to reduce inherent biological complexity and provide predictions for applications such as therapeutic development.…
Pneumatic Computers for Embedded Control of Microfluidics
Siavash Ahrar, Manasi Raje, Irene C. Lee +1
Alternative computing approaches that interface readily with physical systems are well suited for embedded control of those systems. We demonstrate finite state machines implemente…
Optimal Design of Experiments for Simulation-Based Inference of Mechanistic Acyclic Biological Networks
Vincent Zaballa, Elliot Hui
Biological signaling pathways based upon proteins binding to one another to relay a signal for genetic expression, such as the Bone Morphogenetic Protein (BMP) signaling pathway, c…