Presentations and Posters
See a map of all the places I've presented something!
June 27, 2024
Talk, Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania
Autonomous labs can be a tranformative tool for the future of research to accelerate scientific discovery, but they are capital intensive and require a high level of expertise to design and operate. In this talk, I introduced our approach to use the CMU cloud lab as a proxy for designing autonomous workflows. Specifically, we demonstrated how the cloud lab can be used to measure the Hansen solubility parameters of a series of polymers in a closed-loop and autonomous fashion. Everything, including the design and selection of experiments, the execution of the experiments, and the analysis of the experiment findings, is done autonomously with no human intervention, except the neccessary human involvement in the cloud lab facility.
February 12, 2024
Poster, Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania
The design of complex fluids is a challenging task due to the high-dimensional formulation space. In this work, we developed a genetic algorithm-based and physics-informed formulation AI to predict the dynamic viscosity of non-Newtonian complex fluids. We showed how AI can be implemented to discover new viscosity models that are more related to real-life datasets than empirical models such as the Cross model. More information here.
December 02, 2022
Talk, Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania
From the early days of QSAR to the current deep learning models such as variational autoencoders and graph neural networks, molecular representation has been a central theme in cheminformatics. In this talk, I reviwed the history of molecular representation and discussed the current state-of-the-art models for property prediction.
