Aaryan Samanta

About Me

Introducing my journey and purpose

Hi, I’m Aaryan. I’m driven by curiosity, discipline, and optimism, drawn to challenges that push growth—whether puzzling through code without an obvious path, training on the track, or leading my percussion section to sound as one. I’ve learned that real progress comes slowly: from consistency, humility, asking for help, and steady improvement even on frustrating days. AI excites me because the models we build can expand access to better healthcare, education, and opportunity—but I also recognize how easily they can deepen inequality if we’re not careful. I see AI not as a trend, but as a responsibility. I’ve felt this in my own projects: small choices in data or design can shift outcomes unexpectedly, like in my work on graph neural networks for multimodal classification and ultrasound image analysis for diagnostics. That’s driven me to approach everything with real care—contributing to research, and organizing workshops through AI Ethos and NextGenAI so other students can explore building thoughtful, equitable AI too. It’s never straightforward: late nights debugging, feedback forcing rewrites, ideas that fall short. But every challenge has deepened my commitment to technology that lifts people up instead of leaving some behind.

Track has taught me patience during incremental gains; music has shown me the power of listening and adapting together; mentoring younger teammates has reminded me that sharing knowledge often matters more than any solo win. I still have so much to learn—the field moves fast and can feel overwhelming—but I keep moving forward with quiet determination because I believe AI can be a powerful force for good when guided by humility, empathy, and persistence. I’m excited to join communities at Stanford, MIT, or Berkeley, where hard problems are tackled collaboratively and people think deeply about technology’s impact on everyone. I’d love to contribute what I can while continuing to grow.

Professional Summary

Key Highlights

• Research Scholar (Mentor: Christos E. Constantinou, Stanford University School of Medicine Associate Professor of Urology, Emeritus), Jan’26–Present: Analyzed anonymized pelvic floor ultrasound data across cohorts.

• Lead author, two peer-reviewed publications: IEEE AIAM 2025 (quantum-inspired GA-GNN ensemble) and IJHSR (C. elegans mitochondrial resilience); rare achievement for high schoolers in competitive venues.

• USACO (USA Computing Olympiad) Gold Division (Certified): Dual perfect scores (1000/1000 Silver/Gold); top ~2-5% globally

• AMC 10 & 12 National 1st Place Perfect Scores (150/150); 2× AIME qualifier

• Founder & President of AI Ethos, Inc. (501(c)(3)) and NextGenAI International; scaled ethical AI education to 75+ students across 3 countries.

• SAT 1570 (800 Math) | GPA 4.8 W / 4.0 UW | UCSB Summer Research Academy youngest scholar

Areas of Interest

Focusing on emerging fields of interest

• Artificial Intelligence

• Quantum Computing

• Machine Learning

• Competitive Algorithms

• Graph Neural Networks

• Bioinformatics & Med Imaging

• Ethical AI

• Healthcare AI

Research & Publications

Showcasing AI research and publications.

Research w/ Associate Professor Emeritus Stanford (Jan’26-Present)

Research (Mentor: Associate Professor of Urology, Emeritus, Stanford University School of Medicine), Jan’26–Present: Analyzed anonymized pelvic floor ultrasound data across cohorts & stimulation states; developed 3D models from records/publication data for kinematic & pathophysiologic insights

Lead Author, IEEE AIAM 2025 (Nov'25)

Lead Author, IEEE AIAM 2025 International Conference Publication, Nov’25: Quantum‑Inspired Hybrid Genetic Algorithm and Graph Neural Network Ensemble for Multimodal Classification; peer‑reviewed IEEE proceedings Link

UCSB SRA Scholar & Lead Author, IJHSR (Jul–Dec’25):

UCSB SRA Scholar & Lead Author, IJHSR Publication: Youngest accepted (top ~10% rate); capstone "Resetting the Clocks: Mitochondrial Quality Control via Genetic Adaptation"—identified resilience genes in C. elegans CX11314/EG4725 via comp bio analysis; paper: "Natural genetic variation in mitochondrial health-regulating genes..."; peer-reviewed journal. Link

AI Research Intern, Legend College Prep AI Lab (Jun’25)

AI Research Intern, Legend College Prep AI Lab, Jun’25: Built CNN for pneumonia detection from chest X‑rays (>90% accuracy); developed full pipeline (preprocessing, augmentation, training, evaluation). Link

Data Science Research Scholar, Legend College Prep AI Lab (Sep ’25)

Data Science Research Scholar, Legend College Prep AI Lab, Sep ’25: Disease‑Symptom Demographic EDA; applied ML/statistical analysis to patient data, identified demographic correlations, and built public‑health visualizations. Link

Awards & Honors

Celebrating achievements and recognition

• Lead Author, IEEE AIAM 2025 Peer-Reviewed Publication (International AI & Mfg Conference, <1% HS acceptance)

• USACO (USA Computing Olympiad) Gold Division (Certified): Triple perfect scores (1000/1000 Bronze/Silver/Gold); top ~2-5% globally

• AMC 10 & 12 National 1st Place Perfect Scores (150/150); 2× AIME Qualifier, 2024-2025

• UCSB Summer Research Academy Scholar – Youngest accepted (top ~10 % admission rate, IJHSR publication).

• Lead Author, IJHSR, Peer-Reviewed (International Journal of High School Research)

• NSHSS National Scholar (Top 1% Academic & Leadership Recognition)

Leadership & Global Impact

Driving innovation and influence worldwide

• Founder/President, AI Ethos, Inc. (501(c)(3)) • 2025–Present: Directed ethical AI bias mitigation workshops for 75+ students across 3 countries; promoted equitable AI access. http://aiethos.org/

• Founder/President, NextGenAI International • 2025–Present: Built international student organization with 50+ members; hosted international seminars expanding global student network. http://nextgenai.org

• Founder/Chief, Global AI Ambassador • 2025–Present: Created first ever high school Global AI ambassador role; collaborated with educators and principals in Taiwan and the U.S. to advance responsible AI adoption.

• Co-Captain, Cupertino Junior Olympiad Math/CS Team • 2024–Present: Mentored 20+ peers to AIME/USACO Gold qualifications.

• Volunteer Team Leader, VA Palo Alto Health Care • 2024–Present: Directed audits of 50+ elderly medical images; standardized AI-assisted diagnostic workflows.

Additional Distinctions

Highlighting unique accomplishments

• Track & Field JV Anchor, MVHS Matadors: Set all‑time 9th grade school records (100m: 11.75s); Rookie of the Year; League Champions Link

• Percussion Section Leader, MVHS Concert Band: Directed 10-member section to Unanimous Superior & Perfect Score, CMEA Festival.

Technical Proficiency

Demonstrating advanced technical expertise

• Domains: Graph Neural Networks, Genetic Algorithms, CNNs, Bioinformatics, Ethical AI

• Languages: Python (PyTorch, TensorFlow, NumPy, Pandas, scikit-learn), Java, JavaScript

• Tools: MATLAB, Git, LaTeX, Linux