Work One-on-One with a Research Mentor
- Personalized Guidance: Receive tailored advice and support specific to your research goals and challenges.
- Deeper Learning: Gain a more comprehensive understanding of research methodologies through direct interaction and feedback.
- Enhanced Skill Development: Build critical thinking, problem-solving, and analytical skills with focused, hands-on mentoring.
- Each live session will be 75-90 minutes, held virtually via Zoom.
- Open to middle school through college. No prior experience is required, just a willingness to learn and commit the time necessary.
- Students work with their research mentor to select a research topic of interest.
- Clear deliverables: research publication, poster presentation, and certificate of completion.
- Research publication – Each student will receive a unique URL for their indexed research report. This ensures easy access, enhances visibility, and allows their work to be shared and cited within the academic community.
One-on-One Bioinformatics Research with Dr. Jedy
- Research Topic: The one-on-one nature of this program allows for the customization of a student’s research interest for a particular human disease, microorganism, or plant focus while incorporating Artificial Intelligence (AI) and Machine Learning (ML). Potential topics include:
○ Microbial AI and ML Bioinformatics
○ Medical AI and ML Bioinformatics
○ Plant Biology AI and ML Bioinformatics
The deliverables for this program include:
- Published Research Paper: Students will finalize their research for publication. Each student will receive a personalized URL for their indexed research report, ensuring easy sharing, increased visibility, and accessibility within the academic community.
- Poster Presentation: Students will enhance their presentation skills by designing a poster and presenting it at a symposium to their peers.
- 10 sessions – meeting 2 – 4x a month, approx. 75-90 mins each
- Dates & Times: Scheduled with your mentor
Sessions Overview
Sessions 1 – 10:
- Overview of AI and ML applications in Bioinformatics
- Research formats and critical review of Bioinformatics scientific literature
- The Central Dogma and utilizing GEO2R tools and databases in Bioinformatics research
- Data collection and analysis using Bioinformatics tools and databases
- Writing a manuscript and designing a scientific poster
- The final session will be dedicated to addressing student requests for letters of recommendation from their research mentor.
Why You’ll Love This Research Experience:
Collaborate closely with a research professor to create a tailored research experience, resulting in a publication under your name. You will explore cutting-edge topics in Bioinformatics, focusing on the application of Artificial Intelligence (AI) and Machine Learning (ML) in the field. Through hands-on learning, you’ll engage in data analysis and familiarize yourself with essential Bioinformatics tools such as Gene Expression Omnibus (GEO2R), SR Plot, ShinyGo, and DAVID, as well as databases like KEGG and GO. By the end of this experience, you will have developed a robust skill set in data analysis and bioinformatics.
This course is tailored to accommodate various skill levels and is suitable for beginners. No programming experience is needed, as the focus will be on no-code tools for AI and ML.
View the syllabus
Investment: $4900
Sign up now
Science Fair Project Collaboration with Dr. Jedy
- Research Topic: This course is designed for students who have previously completed a Rising Researchers camp or conducted their own independent research. It is ideal for those ready to take their research to the next level by preparing it for a science fair or conference presentation. Through interactive sessions and practical exercises, students will learn how to identify and select science fairs and conferences that align with their research experience, design a suitable research poster presentation, and effectively communicate their research and findings through poster presentations at science fairs and conferences.
- 6 sessions – approx. 75-90 mins each
- Dates & Times: Scheduled with your mentor
Why You’ll Love This Research Experience:
Working one-on-one with a research professor on a science fair project or conference presentation offers personalized guidance tailored to the student’s specific interests and learning style. It allows for deeper exploration of complex topics, as the mentor can provide targeted feedback and expert advice throughout the process. This close collaboration helps students build confidence, problem-solving skills, and a stronger understanding of scientific principles. Additionally, mentorship enhances time management and project organization, ensuring a more successful and well-executed final presentation.
View the syllabus
Investment: $2900
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Meet your Mentor – Dr. Jedy C
EDUCATION
Ph.D., Biochemistry and Molecular Biology, Plant Biology Program, University of Massachusetts Amherst
MSc., Biology, East Tennessee State University
BSc., Microbiology, University of Zambia
BACKGROUND
Dr. Jedy C is a Lecturer at the University of Massachusetts (UMass) Amherst where she received her doctoral degree (Ph.D.) in the Biochemistry and Molecular Biology Department and Plant Biology Program. Her doctoral research used CRISPR/Cas9 genome editing technology, Bioinformatics, and Microbiology techniques to understand how beneficial interactions between bacteria and plants contribute to healthy and sustainable food.
Jedy has mentored and taught Biology, Genetics, Microbiology, Bioinformatics, and laboratory research to undergraduate and pre-college high school students interested in STEM and medical school. Her mentees are from diverse ethnic, cultural, social, and educational backgrounds. She strives to create an open, inclusive, and equal environment in which every student has the opportunity to flourish and succeed.
RESEARCH INTERESTS
- CRISPR/Cas9 Genome Editing
- Genetics and Bioinformatics
- Microbiology/bacteria-plant Interactions
- STEM Education
One-on-One Astrophysics Research with Dr. Ryan
- Research Topic: Astrophysics: Harnessing AI, Machine Learning, and Computational Fluid Dynamics to Research Exoplanets, Black Holes, Stars, and Galaxies.
The one-on-one nature of this program allows for the customization of a student’s research interest for a particular area of astrophysics, with a focus on exoplanets, black holes, stars, or galaxies.
The deliverables for this program include:
- Published Research Paper: Students will finalize their research for publication. Each student will receive a personalized URL for their indexed research report, ensuring easy sharing, increased visibility, and accessibility within the academic community.
- Poster Presentation: Students will enhance their presentation skills by designing a poster and presenting it at a symposium to their peers.
- 10 sessions – meeting 2 – 4x a month, approx. 75-90 mins each
- Dates & Times: Scheduled with your mentor
Sessions Overview
Sessions 1 – 10:
- Develop fundamental knowledge of astrophysics
- Learn high-performance computing and computational fluid dynamics (CFD)
- Explore Artificial Intelligence (AI), machine learning (ML) algorithms, and programming languages
- Apply skills to study exoplanets, black holes, stars, and galaxies
- Learn and design a novel research topic in a cutting-edge astrophysics area using the scientific method and the same AI, ML, and CFD tools used by top scientists today
- Identify research gaps and collect astrophysics data from multiple databases and tools
- Analyze data using AI/ML algorithms and CFD simulations
- Communicate research findings through a poster presentation in front of your peers and a published manuscript
- The final session will be dedicated to addressing student requests for letters of recommendation from their research mentor
Why You’ll Love This Research Experience:
Collaborate closely with a research professor to create a tailored research experience, resulting in a publication under your name. You will explore cutting-edge topics in Astrophysics, focusing on the application of Artificial Intelligence (AI) and Machine Learning (ML) in the field. Through hands-on learning, you’ll engage in astrophysics data analysis and become familiar with essential research tools and databases, such as the NASA Exoplanet Archive, the Sloan Digital Sky Survey (SDSS), and simulations using Python and computational fluid dynamics (CFD) software. You will apply artificial intelligence (AI) and machine learning (ML) algorithms, including decision trees and neural networks, to analyze stellar, galactic, and exoplanet datasets. Throughout the course, you’ll explore spectral data, light curves, and cosmic simulations to investigate stars, galaxies, black holes, and exoplanets. By the end of this experience, you will have developed a robust skill set in astrophysics research, computational methods, and data analysis.
This course is tailored to accommodate various skill levels and is suitable for beginners.
View the syllabus
Investment: $4900
Sign up now
Meet your Mentor – Dr. Ryan F
EDUCATION
Ph.D. Astronomy & Astrophysics, University of Michigan
B.A. Physics, Mathematics, Wheaton College
BACKGROUND
Dr. Ryan F is an Adjunct Professor of Physics at Purdue University Fort Wayne and a former postdoctoral researcher at the Max Planck Institute for Astrophysics. He earned his Ph.D. in Astronomy & Astrophysics from the University of Michigan, where he received numerous awards, including selection as a Visiting Scholar at Princeton University’s Institute for Advanced Study and as a Graduate Research Fellow at the Kavli Institute for Theoretical Physics.
A world-renowned expert in computational astrophysics, particularly galaxy formation and evolution, Dr. Farber has been awarded over 100 million CPU-hours on the world’s most powerful supercomputers and is a co-investigator on a James Webb Space Telescope Cycle 4 proposal. He has instructed over a thousand students in physics and astronomy, mentoring many to publish their research, win top awards at ISEF, and admission to leading universities worldwide.
His students have researched topics ranging from robotic Mars exploration to black hole accretion and supernova evolution, with mentorship spanning ages 11–77, including professional engineers.
RESEARCH INTERESTS
- Black Holes, Supernovae, Cosmic Rays
- Galaxy Formation & Evolution
- Computational Fluid Dynamics, (Magneto)hydrodynamics
- AI/ML & Quantum Computing
- Encryption & Cybersecurity
