Where Our Mentors Come From
Our mentors are graduate students, researchers, and practitioners with strong AI and STEM backgrounds.
Many mentors are current or former graduate students and researchers at Cornell University and Stanford University.
Why Students Work with Paper Mentor AI
We focus on one outcome: helping students create real, technically rigorous AI research and polished papers.
- 1:1 mentorship tailored to each student.
- Mentors are AI-focused graduate students and researchers.
- Students implement real models and experiments.
- Full support for writing a publishable research paper.
- Guidance on selecting journals and competitions.
Examples of Student Research Topics
- Cyberbullying detection with transformer-based NLP.
- MRI brain tumor detection with CNNs.
- Stock prediction using LSTMs and news sentiment.
- Climate anomaly forecasting.
- Fake news detection using NLP.
- Air pollution prediction with ML.
What Working with Paper Mentor AI Looks Like
Students learn how to:
- Read and replicate real AI research.
- Build ML models in Python.
- Design and evaluate experiments.
- Write a polished research paper.
