Passionate about applying AI/ML applications and methods to unsolved problems or inefficient processes across all early stages of drug discovery. I'm specifically interested in genetic evidence for target discovery and biologics property prediction and optimization.
Developed a multiple myeloma (MM) Digital Twin model of overall survival (OS) to perform full transcriptome in-silico loss-of-function experiments
AI causal modeling on the MMRF IA19 dataset using REFSTM has identified the first causal link between the MCM complex and OS in MM patients.
Longitudinal transport is guided by stress in disordered viscoelastic flow and enhanced by the suppression of elastic instability.
Our work illustrates an important transport mechanism for microalgae stemming from the competition between viscophobic turning and viscous slowdown.
We demonstrate that flow geometry and elastic instability are tightly coupled for viscoelastic flows in porous media.
Here we explore the effects of flow on the buckling dynamics of sperm flagella in an extensional flow through detailed numerical simulations, which are informed by microfluidic experiments and high-speed imaging.
In this work I contributed to the experimental rheological characterization of the yield stress fluid.