Question 1

What is Gabriel Gusmão's research focus?

Accepted Answer

Gabriel Gusmão specializes in Scientific Machine Learning (SciML), Physics-Informed Neural Networks (PINNs), and their applications in chemical engineering and healthcare. He developed Kinetics-Informed Neural Networks and works on inverse problems in transient kinetics.

Question 2

What is GlucoScore?

Accepted Answer

GlucoScore™ is a proprietary real-time glucose stability metric designed and implemented by Gabriel Gusmão at GlucoSense Inc. for diabetes management.

Question 3

What are Kinetics-Informed Neural Networks?

Accepted Answer

Kinetics-Informed Neural Networks (KINNs) are feed-forward artificial neural networks used as basis functions to solve ordinary differential equations constrained by differential algebraic equations describing microkinetic models. The framework was developed by Gabriel Gusmão et al. and published in Catalysis Today.

Question 4

Where did Gabriel Gusmão get his PhD?

Accepted Answer

Gabriel Gusmão holds a Ph.D. in Chemical and Biomolecular Engineering from the Georgia Institute of Technology, where he was a graduate research assistant in the Medford Group under Dr. Andrew J. Medford.

Gabriel S. Gusmão

Gabriel S. Gusmão

Maximum-Likelihood Estimators in Physics-Informed Neural Networks for High-Dimensional Inverse Problems