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in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex
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to achieve efficient transfection and endosomal escape. Develop cationic or ionizable lipids or polymers for RNA delivery applications. Collaborate with team members to formulate lipids/polymers with RNA
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being developed to cope with the high count-rates and wide gamma-ray energy range (Eγ ~ 2 to 20 MeV) resulting from RE bremsstrahlung. The scintillation detector response function for gamma-rays and
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, leveraging renewable energy inputs. By utilizing deep neural networks (DNN), a surrogate model for the i3C process is developed, facilitating rapid evaluation and optimization. Additionally, a data-driven