MAYA SEN
PhD Candidate · Research Portfolio

Ideas with
gravity.

A research-led portfolio for a curious PhD candidate turning difficult questions into evidence, experiments, and meaningful discoveries.

Scroll the research orbit ↓
01 / The researcher

Curiosity is the constant.

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.

“The best research does not just answer a question. It changes the next question.”
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HypothesisEvidenceImpact
02 / Selected work

Research
in motion.

01
Doctoral Research · 2024-Present

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 dissertation
02
Conference Study · 2025

Making complex datasets explainable

A visual analytics framework for communicating uncertainty without hiding the science.

Poster · Oral talk
03
Collaborative Project · 2025

From simulation to experiment

Bridging computational predictions with laboratory measurements through a reproducible workflow.

Open methodology
03 / Academic journey

Milestones,
not just dates.

2024-Now

PhD Candidate · Center for Sustainable Materials

Doctoral research, computational modeling, experimental collaboration.

RESEARCH
2023

M.Tech · Materials Science

Thesis on data-assisted optimization of energy materials.

DISTINCTION
2021

B.Tech · Chemical Engineering

Foundation in process engineering, thermodynamics, and numerical methods.

GRADUATED
04 / Research toolkit

Tools for
thinking.

No artificial percentage scores: just the methods and capabilities that shape the work.

Scientific ComputingExperimental DesignData AnalysisPythonLiterature SynthesisStatistical ModelingScientific WritingResearch CommunicationReproducible Workflows
05 / Contact

Have a question worth exploring?

For research collaborations, academic conversations, conference opportunities, or thoughtful questions, send a note.

✉ maya@example.edu
☎ +1 734 555 0126
◈ Ann Arbor, MI