PROJECTS
At META Lab projects are developed in close collaboration with the student to best suit their interest. With curiosity and joy as our guiding principles, our research projects evolve and emerge as reflections of our students' personalities. We encourage the lab members to integrate their interests in science, engineering, art, humanities, or any other mode of knowledge creation to formulate their projects. The projects are constantly improvised, with always an eye for unforeseen directions worth pursuing.
If you are interested in any of the following projects or would like to initiate a collaboration, please reach out to Abhishek.
Click here for interdisciplinary projects in Fall 2025
PEOPLE
Active Projects: Fall 2025
- Rachel Lee: Computational design of networked materials for stimulus-response
Past Projects
Spring 2025
All projects were presented at the End of The Year Show 2025! - Ubaidullah Hassan : Mapping sequences to networks to study the evolution of function (PhD student, Chemistry at UPenn)
- Rowen Sadlier: Use of auxetic patterns in art and performance (PhD student, Chemical Engineering, CCNY)
- Joseph C: Computational design of networked materials for stimulus-response
- Abigail Takemoto: Auxetic fabrics
- Mekhi Vazquez: Auxetic fabrics
- Jobsue Ventura (A’26): Design of auxetic garments
- Faith Cheung: Thermal imaging of heat transfer (Project Website, School of Engineering’s Dean’s Innovation Grant 2024)
- Chiara Leopardi (A’25): Menschel project Corroso, and senior show Pyramids before tourism. Advised on laser and sound work.
Fall 2024
- Tausif Tamim:
Biomolecular simulations for optimization of bioprocesses
(PhD student, Chemical Engineering at NYU)
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Suhama Saniz: Molecular dynamics for the study and optimization of drug delivery systems
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Rachel Lee: Parametric design of open-source science communication demonstrations
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Abigail Takemoto: Embedding active medicinal molecules in clothing
- Jenna Sapers: Evaluation, treatment, and extraction of microplastics in water
- Harsh Reshamwala: Monte Carlo simulation of hard particle systems and application of machine learning to describe order
- Faith Cheung: Phase change materials for clothing