Students & Freshers · Doctoral Research
Questions become evidence.
A tessellation of ideas: hypotheses, methods, findings, publications and the small pieces of rigor that assemble into meaningful knowledge.
Modular research record · 2026
Maya Sen
Computational materials · sustainable energy systems · reproducible experimentation.
Ask · Test · Discover
Research tessellation
Question
→ Evidence
→ Insight
01020304
→ Evidence
→ Insight
Current stateCollecting evidence
01 / Profile
Built from
small proofs.
A doctoral journey as a modular record: each tile carries one useful piece of the research story, while the whole system shows how those pieces connect.
Research philosophy
Curiosity deserves a method.
I work at the intersection of analytical reasoning, experimental design and scientific communication. I care about questions that can be tested, evidence that can be inspected, and findings that make the next question sharper.
Working question
What changes when the model meets reality?
From simulations to laboratory evidence, I focus on closing the loop between elegant hypotheses and messy observations.
?
3Research themes
7Conference talks
2Working papers
18Months in the lab
02 / Method
The research
assembly line.
The process itself is the expertise: a repeatable sequence for moving from uncertainty toward defensible insight.
Four-stage protocol
Make the unknown smaller.
01Frame
Define the question and boundary.
02Test
Design an experiment or model.
03Interrogate
Challenge the evidence and assumptions.
04Translate
Communicate what the result changes.
R²Model discipline
↻Reproducibility
03 / Expertise
Capability tiles, not inflated percentages.
Experimental Design
Controls, variables, protocols and repeatable test conditions.
Quantitative Analysis
Statistical reasoning, uncertainty, model comparison and visualization.
Scientific Writing
Paper structure, literature synthesis, clear figures and argumentation.
Research Communication
Posters, talks and concise explanations for mixed audiences.
04 / Selected research
Tiles from
the thesis.
Papers, projects, posters and datasets from my doctoral work.
Predicting material stability before the experiment.
A computational screening workflow connecting structure descriptors with experimental stability signals, designed to reduce the number of candidates entering costly validation cycles.
hypothesis → model → validation · error ↓ / confidence ↑
Uncertainty-aware screening
How confidence intervals change the ranking of candidate materials.
From simulation to sample
Visualizing the bridge between predicted and observed behavior.
05 / Doctoral journey
Milestones,
not a résumé.
How my research practice evolved through study, experimentation, communication and collaboration.
PhD Candidate · Materials & Energy Systems
Leading a doctoral investigation into computationally guided material discovery and experimental validation.
Research Assistant · Sustainable Materials Lab
Built analysis workflows, supported experiments and translated findings into conference-ready research narratives.
MSc · Materials Science
Developed a foundation in characterization, computational analysis, scientific writing and independent research.
First research publication
Co-authored a study that turned an early laboratory observation into a reproducible research question.
06 / Contact
Let's test
an idea.
For research collaborations, doctoral opportunities, conference conversations or interdisciplinary projects, send a short note.
✉ maya@example.com
☎ +49 30 5550 0164
◈ Berlin, DE
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