Limited spots! Students accepted on a rolling basis each month | Fall Internships Available

Advance Your Future in STEM

MIT and Stanford STEM admits combine strategic vision with deep technical expertise.
  • AI
  • Cybersecurity
  • Aerospace
  • Mechanical Enginering
  • Neuroscience
  • Public Health
  • Computer Science
  • Electrical
  • Biomedical
  • Chemical
  • Robotics
  • Civil
  • Environmental Science
  • Pre-Med
 
PathIvy STEM Competition

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Choose the Science Fair Research Topic

We’re proud to work with students from every background - future doctors, scientists, and engineers alike. Our programs in STEM, Pre-Med, and beyond are built to support your individual goals.

2-3 Weeks
Learn
Learn the fundamentals of conducting research and gain subject depth from your mentor on a 1:1 weekly basis.
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Group 464
3-5 Weeks
Plan
Turn your curiosity into discovery by refining your research questions and building a clear STEM research and analysis plan
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7-10 Weeks
Analyze & Write Paper
Explore, analyze, and create - conduct meaningful STEM research and document your findings in a research paper.
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10-12 Weeks
Finalize & Publish
Finished your draft? Work with publication experts to polish it and submit to research journals—fingers crossed for quick publication!
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PathIvy Science Fair Competition Prep/Presentation

Showcase your best work and win awards

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Step 1

Review Literature & Refine Question

Learn competition requirements, then fill out
a project summary
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Step 2

Develop your Poster

Create a clear poster layout with title, key visuals, and sections.
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Step 3

Write your Presentation Script

Write a script explaining your project and its impact to judges.
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Step 4

Practice for the Judges

Anticipate common judge questions, draft strong responses.
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Step 5

Revise your Submission

Get peer/instructor feedback and make poster and script revisions.

PathIvy Research Program: Student Project Examples

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Stephanie F.

Universities Accepted To: Duke University (ED)

 

Research Topic: How can government
policies and programs effectively support entrepreneurial opportunities and improve economic outcomes for women in low-income communities?

 

PathIvy Experience: “My experience shaped my research journey and strengthened my college applications. Highlighting my research showcased my passion and interest in economics and public service. I also relied on a recommendation letter from my mentor for my applications.”

 

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Zach J.

Universities Accepted To: Stanford University, University of Chicago, Rice University

 

Research Topic: How does the advancement of artificial intelligence influence privacy laws, and how can legal frameworks be balanced with the protection of individual rights?

 

PathIvy Experience: “I had the unique opportunity to collaborate with a Stanford Law School student. This experience was a key factor in my acceptance to my dream schools and I valued the chance to work alongside my incredible mentor from Stanford.” 

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Ronit K.

Universities Accepted To: Brown University, Johns Hopkins University

 

Research Topic: Navigating Ethical Dilemmas in Genetic Engineering: CRISPR’s Role in Precision Medicine

 

PathIvy Experience: “This was a great experience for me. After being accepted to Brown, I received a handwritten letter from the admissions office expressing their admiration for my research and their excitement about my potential to impact healthcare. Thank you for helping make this dream a reality!”

Showcasing Award-Winning Student Research!

Highlighting standout projects from 2025

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Cross-Cultural  Emotion Recognition: AI vs. South Asian Americans

Current 12th Grade Student, Northcreek High School, Washington State

Challenge

Most AI emotion models are trained on Western faces, causing bias for non-Western users.

Project Highlights

  • Collected 1,200+ South Asian facial emotion samples
    across 7 categories
  • Trained a custom CNN model optimized for this
    dataset
  • Improved accuracy by 15% compared to Western-
    trained models

 

 

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Analysis of Autism Spectrum  Disorder Gut Microbiome Signatures

Current 12th Grade Student, Tesla STEM High School, Washington State

Challenge

Existing studies use limited methods, missing complex microbial patterns.

Project Highlights

  • Built a multi-method pipeline for diversity and
    abundance testing
  • Applied Random Forest ML, achieving 79.1%
    accuracy distinguishing ASD vs. controls
  • Revealed new microbial network structures linked
    to ASD

 

Ready to start the journey? Schedule a consultation with us!