Ansh Kumar
Published at MIT URTC for Parkinson's disease research, built an AI lung cancer detection model with 98.2% sensitivity across 7,240 clinical samples, and founded a nonprofit that has reached 350,000+ students. Nominated for the Rashtriya Bal Puraskar.
Where Ansh Started
His Background
- • 9th grader at Sreenidhi International School, Hyderabad
- • Former basketball team captain, MUN and Rotary Club member
- • Duke of Edinburgh Award participant
- • Deep interest in biomechanics, neuroscience, and AI
- • Founded the Young Biomechanics Institute (YBI)
His Goals
- • Publish peer-reviewed research in top conferences
- • Apply AI to solve real medical problems
- • Democratize STEM education for young Indians
- • Build a research profile competitive for top global universities
- • Make a tangible impact on healthcare outcomes
The Problems He Wanted to Solve
Ansh didn't want to pick one problem. He wanted to tackle two of medicine's biggest challenges: restoring movement in Parkinson's patients through biomechanical interventions, and detecting lung cancer earlier through AI-driven epigenetic analysis. Both required cross-disciplinary fluency that most PhD students spend years developing.
The Research
Ansh produced two major research projects, each addressing a different frontier of medicine. One was accepted at MIT URTC, one of the most competitive undergraduate research venues in the world. The other achieved clinical-grade diagnostic performance for lung cancer detection.
Enhancing Movement in Patients with Parkinson's Disease
Parkinson's disease robs over 10 million people worldwide of the ability to move fluidly, yet biomechanical interventions remain underdeveloped
Biomechanical interventions and analytical frameworks for improving motor outcomes, combining human physiology with computational modeling
DNA Methylation Biomarkers for Lung Cancer Detection: An AI-Driven Approach
Lung cancer is the world's leading cause of cancer-related death, yet detection remains frustratingly late-stage
Gradient boosting classifier trained on 7,240 TCGA samples using five DNA methylation biomarkers (EGFR, PD-L1, SHOX2, RASSF1A, PTGER4) for non-invasive detection
Clinical-Grade AI at 15 Years Old
Ansh's lung cancer model doesn't just detect cancer. It detects it with 98.2% sensitivity, meaning it almost never misses a true positive. The model was validated across 7,240 clinical samples with 270 hyperparameter optimization runs and 5-fold cross-validation. These aren't student-project numbers. These are numbers that clinicians take seriously.
AUC Score
Sensitivity
Samples Analyzed
Students Reached
The Outcome
Published
IEEE-affiliated conference at MIT for Parkinson's disease research
AI Oncology
Lung cancer detection model with clinical-grade performance
Rashtriya Bal Puraskar
Nominated for India's highest honour for young achievers
A 9th grader passionate about biomechanics and AI with no publications or formal research experience
Published at MIT URTC, IEEE accepted, Rashtriya Bal Puraskar nominee, and founder of a nonprofit reaching 350,000+ students
The Bigger Picture
Years old when he published at MIT URTC and built a clinical-grade AI model for cancer detection
Students reached through the Young Biomechanics Institute, democratizing STEM education across India
Sensitivity on lung cancer detection, meaning the AI almost never misses a true cancer diagnosis
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