Predicting material behavior under extreme conditions
Developing interpretable computational models to understand how next-generation energy materials respond to heat, pressure, and repeated cycling.
Primary dissertationA research-led portfolio for a curious PhD candidate turning difficult questions into evidence, experiments, and meaningful discoveries.
I'm Maya Sen, a PhD candidate focused on computational materials and sustainable energy systems. My work sits between rigorous experimentation, quantitative analysis, and questions that matter beyond the lab.
Developing interpretable computational models to understand how next-generation energy materials respond to heat, pressure, and repeated cycling.
Primary dissertationA visual analytics framework for communicating uncertainty without hiding the science.
Poster · Oral talkBridging computational predictions with laboratory measurements through a reproducible workflow.
Open methodologyDoctoral research, computational modeling, experimental collaboration.
Thesis on data-assisted optimization of energy materials.
Foundation in process engineering, thermodynamics, and numerical methods.
No artificial percentage scores: just the methods and capabilities that shape the work.
For research collaborations, academic conversations, conference opportunities, or thoughtful questions, send a note.