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.


diffracted sunset through a disordered network (Joseph, Rowen)
Emergence of patterns in AB sequences (Ubaidullah Hassan)
First prototype of an open-source science demonstration (Rachel Lee)
Self-fitting auxetic sleeve made by Rowen Sadlier 
Self-fitting sleeve in action: made by Rowen Sadlier, worn by Rachel Lee
First tube knitted by the knitting machine (Abhishek)
Simulation of a protein by Tausif Tamim
Simulation of ABABA sequence by Ubaidullah Hassan
Auxetic disk printed by Rowen Sadlier
Lab overview in October 2024 (Abhishek’s office)


PEOPLE 

Active Projects: Spring 2025


Ubaidullah Hassan 

Mapping sequences to networks to study the evolution of function 


Rowen Sadlier

Use of auxetic patterns in art and performance


Joseph C

Computational design of networked materials for stimulus-response


Abigail Takemoto

Auxetic fabrics


Faith Cheung

Thermal Imaging of Heat Transfer






Past Projects: Fall 2024

Tausif Tamim

Biomolecular simulations for optimization of bioprocesses


Suhama Saniz

Molecular dynamics for the study and optimization of drug delivery systems


Rachel Lee

Parametric design of open-source science communication demonstrations


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