USD 500
What Is STEM Research Accelerator?
2 Week-long Research Incubator
An Opportunity to Think Critically. Research Deeply. Create Meaningfully.
This intensive program is crafted to mirror the rigor and depth of the world's top research institutions, blending the rich academic heritage of Ivy League standards with the innovative, forward-thinking approach of leading global research entities.
A Bootcamp Designed for Real-World Research Skills.
In this research bootcamp, participants will dive deep into the fundamentals of research, exploring various methodologies, the significance of data, and the application of Artificial Intelligence in streamlining research processes.
Meet your Mentors
Maya Gobert is our Director of Student Innovation. She is also the Founder and Director of the Leadership & Innovation Lab.
She attended Cornell University on a full expenses paid scholarship where she double majored in Economics and Political Science and graduated with top honors. Maya has worked across three continents and industries - finance, marketing and educational consulting.
She's also led a team of consultants and worked personally with students from more than 14 countries, mentoring them in candidacy building and extracurricular pursuits. Her students have gained admission into all the Ivy League colleges and many other Top 20 US universities.
- Dr Jahn received his B.A. at Carleton College and completed his Ph.D. in cognitive neuroscience at Indiana University.
- After completing his postdoctoral fellowship at Haskins Laboratories in New Haven, Connecticut, he began his current job as an imaging consultant at the University of Michigan.
- He has worked as a neuroimaging consultant for several research laboratories around the world, including UC Irvine, Michigan State University, Radboud University, University of Antwerp, McLean Hospital at Harvard University, and others.
- Computer Science and Engineering from MIT
- Researched on Bayesian modeling Machine Learning methods in MIT D-Lab
- Software engineer at Google.
- Previously worked at Amazon, IBM, Microsoft, and Morgan Stanley
- Extensive research, teaching, and consulting experience, and can mentor software engineering, web development, and game development.
- PhD in Materials Science and Engineering
- Highly experienced Principal Materials Engineer for $10million companies, where he directs metal 3D printer experiments among other research work.
- Published 41 academic papers (8 as first author) in outlets such as the International Materials Review, the Journal of the Electrochemical Society, and Nature Energy.
- Expertise in many areas of materials engineering including but not limited to additive manufacturing, tribological coatings, corrosion, engineering ceramics, bearings, powder metallurgy and nanomaterials.
- PostDoctoral Fellow at Harvard
- PhD student in Machine Learning & AI at the University of Cambridge.
- Research focuses on statistical approaches to AI and optimization, including topics such as high-dimensional statistics, changepoint detection, and graph optimization.
- Worked on AI at Google.
Bootcamp Curriculum
A structured, expert-led research journey.
Foundations & AI Workflows
September 29 (6:30 – 8:30 PM IST)
- The Research Blueprint: Defining research purposes and methodology categories.
- AI as a Research Partner: Using AI for source synthesis without over-reliance.
- Milestone: Brainstorming ways to study a STEM topic.
Expert Deep Dives
September 30 (6:30 – 8:30 PM IST)
- ML & AI: Bayesian modeling + cognitive neuroscience (6:45–7:15 PM)
- CS & Applied Math: Google engineering + algorithms (7:45–8:15 PM)
- Activity: Designing research questions
Expert Deep Dives
October 1 (6:30 – 8:30 PM IST)
- Engineering: Additive manufacturing + publication strategies (6:45–7:15 PM)
- Data Science: High-dimensional stats + AI optimization (7:45–8:15 PM)
- Milestone: Final research area & hypothesis
Data Architecture & Ethical Guardrails
October 2 (6:30 – 8:30 PM IST)
- Data Design: Designing experimental logs and survey logic
- Ethical Standards: Plagiarism and STEM case studies
Funding, Formatting & Citations
October 7 (6:30 – 8:30 PM IST)
- Understanding journals and funding systems
- Grant simulation exercise
- Technical writing and citation mastery
Final Funding Simulation & Showcase
October 9 (6:30 – 9:30 PM IST)
- The Pitch: Presenting projects to instructors
- Funding Gala: Peer investment simulation
- Merit Awards:
- Best Research Idea
- Best Research Methodology
- Best Use of Data
- Best Demonstration of Intersectionality