Experience

Eurofins Discovery

• United States
• Biotechnology
• 100 - 200 Employee

• Machine Learning Engineer II

  • May 2022 - Present

  Developed machine learning models to predict compound properties important for drug design. Developed machine learning models to predict compound properties important for drug design.



University of North Carolina at Chapel Hill

• United States
• Higher Education
• 700 & Above Employee

• Research Associate

  • Feb 2021 - May 2022

  Using machine-learning based image analysis to study cell morphology and motility. Using mathematical modeling and parameter inference to understand cell's motion. We seek to understand how regulation and activity of the cell cytoskeleton enable cells to migrate directionally. Using machine-learning based image analysis to study cell morphology and motility. Using mathematical modeling and parameter inference to understand cell's motion. We seek to understand how regulation and activity of the cell cytoskeleton enable cells to migrate directionally.



PHCO Alumni and Friends

• United States
• Higher Education
• 1 - 100 Employee

• Postdoctoral Research Associate

  • Feb 2016 - Feb 2021

  Led a team developing image-analysis tools and stochastic simulation approaches to model the spatial and temporal dynamics of molecules at the cell membrane that cluster in response to receptor stimulation. The goal was to understand molecular mechanisms that enable cells to sense and respond to directional external signals. Led a team developing image-analysis tools and stochastic simulation approaches to model the spatial and temporal dynamics of molecules at the cell membrane that cluster in response to receptor stimulation. The goal was to understand molecular mechanisms that enable cells to sense and respond to directional external signals.



Duke University

• United States
• Higher Education
• 700 & Above Employee

• PhD in Computational Biology and Bioinformatics

  • Aug 2010 - Dec 2015

  Developed numerical tools to solve partial differential equations in 3D. Modeled the effect of nerve cell shape in the long-term localization of signals that contribute to learning and memory. Developed numerical tools to solve partial differential equations in 3D. Modeled the effect of nerve cell shape in the long-term localization of signals that contribute to learning and memory.