Senior Data/Modeling Scientist

The petitioner proposes to utilize statistics, numerical analysis, and high-performance computing methodologies to develop state-of-the-art simulation tools. These tools aim to identify predictive mathematical models for use in science and engineering applications, specifically modeling complex cellular processes and interactions.

The petitioner proposes to develop realistic numerical lung models to visualize and analyze internal airflow to identify optimum ventilation approaches for healthy, diseased, or injured lungs. He intends to enhance GE Healthcare’s ventilator models to reduce mortality rates in ARDS patients and utilize clinical trials for optimization. His work involves publishing original fluid dynamics research to advance the understanding of supersonic gas flow in industrial and medical applications.

The petitioner proposes to design novel PK/PD models to determine the efficacy and safety of new drugs using clinical data and computational drug modeling. This work focuses on reducing toxicity, optimizing dosage, and increasing the success rate of drug approvals to make therapies safer and more accessible.

The petitioner proposes to continue research at the intersection of computational fluid dynamics (CFD) and renewable energy applications. He utilizes sophisticated lattice Boltzmann methods to simulate non-Newtonian flows, which are critical for the design of biomedical devices and microfluidics.