Using principal component analysis and social network analysis to uncover the relationships between learner interactions within discussion forum assignments on massive open online courses (MOOCs). Funding: MechE Department/Digital Learning Lab MIT

Assessing the effectiveness of large-language-model generated content in adapting to learner's answers to concept questions within MOOCs. Funding: MechE Department/Digital Learning Lab MIT

Designing and processing thermally conductive high density polyethylene (HDPE) – hexagonal boron nitride (hBN) composite for use as a drawable fibers.  In collaboration with: Svetlana Boriskina, PhD (MIT META Lab)

Using commercial thermally conductive polymer filaments to understand the process-structure-property relationship between post print annealing and thermal conductivity. Funding: Army Research Office/Army Research Laboratory

Designing and processing thermally conductive polylactic acid (PLA) – hexagonal boron nitride (hBN) composite for use as a printable filament. Funding: Army Research Office/Army Research Laboratory

Creating aligned pores throughout activated carbon slurries via magnetically aligned emulsions. Previous Funding: Rogers Corporation

Utilizing freeze-casting procedures to create highly aligned pores in electrodes for use in galvanic battery and supercapacitor systems. 

Created an analytical model for the creation of water droplets off a spinning disk. Previous Funding: Thermobionics

Development of robust hydrophobic coatings with hierarchical roughness and chemical apolarity. Previous Funding: Thermobionics

Designing silicon/carbon electrodes that achieve high specific capacities. Previous Funding: Rogers Corporation