Devansh Gupta
At just 14 years old, Devansh published an IEEE research paper on ECG microstate instability in depression, founded a 6-figure EdTech company, and bridged neuroscience with AI to tackle mental health diagnostics.
Where Devansh Started
His Background
- • 9th grader at The Doon School, Dehradun (one of India's most prestigious boarding schools)
- • Published poet in the Times of India
- • Founded LyrIQ, a poetry platform, in collaboration with The Times Group
- • Experience with Python (Matplotlib, Pandas), Java, and Dart
- • Had collaborated with PhDs in mathematics and neuroscience
- • No formal research publication experience
His Goals
- • Publish research in a major journal
- • Combine his passion for neuroscience and AI
- • Build a competitive edge for college admissions
- • Learn advanced research and programming skills
- • Work at the intersection of data science and medicine
The Problem He Wanted to Solve
Major Depressive Disorder (MDD) affects over 280 million people worldwide, yet diagnosis remains largely subjective — based on questionnaires and clinical interviews. Devansh wanted to find objective, data-driven biomarkers that could detect depression through physiological signals like ECG.
The Research
Working with YRI mentors, Devansh developed a novel framework that analyzes ECG microstate instability patterns as biomarkers for Major Depressive Disorder. His research combined advanced signal processing with machine learning to uncover how depression manifests in cardiac electrical activity through neuroimmune pathways.
ECG Microstate Instability & Neuroimmune Pathways in Major Depressive Disorder
Depression diagnosis relies on subjective clinical assessments, lacking objective physiological biomarkers
Advanced ECG signal processing to identify microstate instability patterns linked to neuroimmune dysregulation in MDD
Bridged cardiac electrophysiology with neuroimmune pathways — a novel interdisciplinary approach to MDD detection
Published in IEEE — one of the youngest first-authors in the conference at just 14 years old
Bridging Disciplines at 14
What makes Devansh's work remarkable is his ability to connect fields that rarely meet. His research sits at the intersection of cardiology, neuroscience, immunology, and machine learning — an ambitious scope for any researcher, let alone a 14-year-old. He leveraged his programming skills in Python and his curiosity about the brain to build a framework that could one day help clinicians detect depression through a simple ECG reading.
Years Old
Published
Disciplines Merged
Beyond Research: Entrepreneurship
LyrIQ
Founded a poetry platform in collaboration with The Times Group to make literature accessible to a wider audience. Published his own poetry in the Times of India.
EdTech Company
Built with YRI support, Devansh launched an EdTech venture that scaled to 6-figures with international partnerships — all while still in high school.
The Outcome
First-Author IEEE Research Paper
ECG Microstate Instability & Neuroimmune Pathways in MDD
IEEE (Institute of Electrical and Electronics Engineers)
First Author
14 years old
Talented poet and aspiring scientist with no formal research publications or journal experience
IEEE published researcher, 6-figure company founder, interdisciplinary innovator bridging neuroscience and AI
The Bigger Picture
People globally affected by Major Depressive Disorder who could benefit from objective diagnostic tools
Years old when he published his first IEEE paper — one of the youngest authors at the conference
Company founded and scaled with international partnerships while still in high school
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