Summer 2026 applications are now open. Fill out a 2026 Summit Application here!

Summer 2026 applications are now open. Fill out a 2026 Summit Application here!

Summer 2026 applications are now open. Fill out a 2026 Summit Application here!

Summer 2026 applications now open. Apply here!

SUMMIT

Research Scholars (SRS)

Kickstart Your High School Research Journey

SUMMIT

Research Scholars (SRS)

Kickstart Your High School Research Journey

SUMMIT

Research Scholars (SRS)

Kickstart Your High School Research Journey

SUMMIT

Research Scholars (SRS)

Kickstart Your High School Research Journey

Program Structure

Program Structure

Program Structure

Program Structure

Summit Research Scholars (SRS) teaches students how to conduct rigorous research by combining core research methodology with technical skill development. Through the bootcamp, students learn to think analytically, design research studies, and apply data-driven approaches to real-world problems. By the end of the program, students gain the tools to pursue research in fields ranging from biology and engineering to computer science, mathematics, and beyond.

The program is structured around two courses, as described in more detail below.

Summit Research Scholars (SRS) teaches students how to conduct rigorous research by combining core research methodology with technical skill development. Through the bootcamp, students learn to think analytically, design research studies, and apply data-driven approaches to real-world problems. By the end of the program, students gain the tools to pursue research in fields ranging from biology and engineering to computer science, mathematics, and beyond.

The program is structured around two courses, as described in more detail below.

Summit Research Scholars (SRS) teaches students how to conduct rigorous research by combining core research methodology with technical skill development. Through the bootcamp, students learn to think analytically, design research studies, and apply data-driven approaches to real-world problems. By the end of the program, students gain the tools to pursue research in fields ranging from biology and engineering to computer science, mathematics, and beyond.

The program is structured around two courses, as described in more detail below.

Summit Research Scholars (SRS) teaches students how to conduct rigorous research by combining core research methodology with technical skill development. Through the bootcamp, students learn to think analytically, design research studies, and apply data-driven approaches to real-world problems. By the end of the program, students gain the tools to pursue research in fields ranging from biology and engineering to computer science, mathematics, and beyond.

The program is structured around two courses, as described in more detail below.

R

R

R

R

Research Foundations and Methodology (R)

Research Foundations and Methodology (R)

Research Foundations and Methodology (R)

Research Foundations and Methodology (R)

The Research Foundations and Methodology course guides students through the full research process, from concept to completion. Students learn to review scientific literature, develop insightful research questions, design methods, evaluate sources, and write research proposals. The course also emphasizes scientific communication, teaching students to present their findings through papers, presentations, and research posters, while preparing them to pursue meaningful future research opportunities.

The Research Foundations and Methodology course guides students through the full research process, from concept to completion. Students learn to review scientific literature, develop insightful research questions, design methods, evaluate sources, and write research proposals. The course also emphasizes scientific communication, teaching students to present their findings through papers, presentations, and research posters, while preparing them to pursue meaningful future research opportunities.

The Research Foundations and Methodology course guides students through the full research process, from concept to completion. Students learn to review scientific literature, develop insightful research questions, design methods, evaluate sources, and write research proposals. The course also emphasizes scientific communication, teaching students to present their findings through papers, presentations, and research posters, while preparing them to pursue meaningful future research opportunities.

The Research Foundations and Methodology course guides students through the full research process, from concept to completion. Students learn to review scientific literature, develop insightful research questions, design methods, evaluate sources, and write research proposals. The course also emphasizes scientific communication, teaching students to present their findings through papers, presentations, and research posters, while preparing them to pursue meaningful future research opportunities.

T

T

T

T

Technical and Data Fundamentals (T)

Technical and Data Fundamentals (T)

Technical and Data Fundamentals (T)

Technical and Data Fundamentals (T)

The Technical and Data Fundamentals course equips students with the analytical, statistical, and programming skills required to conduct rigorous research. Students learn to code in Python, visualize and analyze data, and apply key computational and statistical techniques to real research problems. Beginning with foundational computer science concepts, the course progresses into data science, descriptive and inferential statistics, and matrix operations. These skills are essential across all research disciplines, as data-driven analysis and computational methods becoming increasingly important in modern scientific discovery.

The Technical and Data Fundamentals course equips students with the analytical, statistical, and programming skills required to conduct rigorous research. Students learn to code in Python, visualize and analyze data, and apply key computational and statistical techniques to real research problems. Beginning with foundational computer science concepts, the course progresses into data science, descriptive and inferential statistics, and matrix operations. These skills are essential across all research disciplines, as data-driven analysis and computational methods becoming increasingly important in modern scientific discovery.

The Technical and Data Fundamentals course equips students with the analytical, statistical, and programming skills required to conduct rigorous research. Students learn to code in Python, visualize and analyze data, and apply key computational and statistical techniques to real research problems. Beginning with foundational computer science concepts, the course progresses into data science, descriptive and inferential statistics, and matrix operations. These skills are essential across all research disciplines, as data-driven analysis and computational methods becoming increasingly important in modern scientific discovery.

The Technical and Data Fundamentals course equips students with the analytical, statistical, and programming skills required to conduct rigorous research. Students learn to code in Python, visualize and analyze data, and apply key computational and statistical techniques to real research problems. Beginning with foundational computer science concepts, the course progresses into data science, descriptive and inferential statistics, and matrix operations. These skills are essential across all research disciplines, as data-driven analysis and computational methods becoming increasingly important in modern scientific discovery.

Research Capstone

Research Capstone

Research Capstone

Research Capstone

By the end of the program, students complete a Research Capstone, consisting of an original research proposal and a personalized action plan for continuing their research journey. Students also complete weekly assignments that progressively build toward the final capstone project, along with interactive activities and practice exercises throughout the program that reinforce newly learned skills.

By the end of the program, students complete a Research Capstone, consisting of an original research proposal and a personalized action plan for continuing their research journey. Students also complete weekly assignments that progressively build toward the final capstone project, along with interactive activities and practice exercises throughout the program that reinforce newly learned skills.

By the end of the program, students complete a Research Capstone, consisting of an original research proposal and a personalized action plan for continuing their research journey. Students also complete weekly assignments that progressively build toward the final capstone project, along with interactive activities and practice exercises throughout the program that reinforce newly learned skills.

By the end of the program, students complete a Research Capstone, consisting of an original research proposal and a personalized action plan for continuing their research journey. Students also complete weekly assignments that progressively build toward the final capstone project, along with interactive activities and practice exercises throughout the program that reinforce newly learned skills.

Academic Workshops

Academic Workshops

Academic Workshops

Academic Workshops

Throughout the program, guest lecturers host Academic Workshops that introduce students to a wide range of research fields. Each session features accomplished mentors with extensive research experience in high school and beyond, many of whom have participated in programs such as the Research Science Institute (RSI), earned top awards at the International Science & Engineering Fair (ISEF), or published in leading journals like NeurIPS while still in high school. These workshops aim to expose students to new concepts and ideas and serve as inspiration as to what high school researchers are capable of achieving. Below are examples of Academic Workshops and the topics they will cover.

Throughout the program, guest lecturers host Academic Workshops that introduce students to a wide range of research fields. Each session features accomplished mentors with extensive research experience in high school and beyond, many of whom have participated in programs such as the Research Science Institute (RSI), earned top awards at the International Science & Engineering Fair (ISEF), or published in leading journals like NeurIPS while still in high school. These workshops aim to expose students to new concepts and ideas and serve as inspiration as to what high school researchers are capable of achieving. Below are examples of Academic Workshops and the topics they will cover.

Throughout the program, guest lecturers host Academic Workshops that introduce students to a wide range of research fields. Each session features accomplished mentors with extensive research experience in high school and beyond, many of whom have participated in programs such as the Research Science Institute (RSI), earned top awards at the International Science & Engineering Fair (ISEF), or published in leading journals like NeurIPS while still in high school. These workshops aim to expose students to new concepts and ideas and serve as inspiration as to what high school researchers are capable of achieving. Below are examples of Academic Workshops and the topics they will cover.

Throughout the program, guest lecturers host Academic Workshops that introduce students to a wide range of research fields. Each session features accomplished mentors with extensive research experience in high school and beyond, many of whom have participated in programs such as the Research Science Institute (RSI), earned top awards at the International Science & Engineering Fair (ISEF), or published in leading journals like NeurIPS while still in high school. These workshops aim to expose students to new concepts and ideas and serve as inspiration as to what high school researchers are capable of achieving. Below are examples of Academic Workshops and the topics they will cover.

From DNA to Data: How AI Is Changing Healthcare and Biology

From DNA to Data: How AI Is Changing Healthcare and Biology

From DNA to Data: How AI Is Changing Healthcare and Biology

From DNA to Data: How AI Is Changing Healthcare and Biology

Kevin Chen, Washington University in St. Louis

Kevin Chen, Washington University in St. Louis

Kevin Chen, Washington University in St. Louis

Kevin Chen, Washington University in St. Louis

M.D. Candidate the Washington University School of Medicine in St. Louis (Full-Tuition Scholarship), B.S. in Chemistry and Statistics from Harvard, Published Author in Nature

M.D. Candidate the Washington University School of Medicine in St. Louis (Full-Tuition Scholarship), B.S. in Chemistry and Statistics from Harvard, Published Author in Nature

M.D. Candidate the Washington University School of Medicine in St. Louis (Full-Tuition Scholarship), B.S. in Chemistry and Statistics from Harvard, Published Author in Nature

M.D. Candidate the Washington University School of Medicine in St. Louis (Full-Tuition Scholarship), B.S. in Chemistry and Statistics from Harvard, Published Author in Nature

How Quantum Research Powers Modern Technology

How Quantum Research Powers Modern Technology

How Quantum Research Powers Modern Technology

How Quantum Research Powers Modern Technology

Alexa Fein, Harvard University

Alexa Fein, Harvard University

Alexa Fein, Harvard University

Alexa Fein, Harvard University

Physics @ Harvard, Research Science Institute (RSI) Alum - Top Presenter, Applied Physics Researcher at the Manoharan Lab, Previously conducted research at Dana-Farber Cancer Institute

Physics @ Harvard, Research Science Institute (RSI) Alum - Top Presenter, Applied Physics Researcher at the Manoharan Lab, Previously conducted research at Dana-Farber Cancer Institute

Physics @ Harvard, Research Science Institute (RSI) Alum - Top Presenter, Applied Physics Researcher at the Manoharan Lab, Previously conducted research at Dana-Farber Cancer Institute

Physics @ Harvard, Research Science Institute (RSI) Alum - Top Presenter, Applied Physics Researcher at the Manoharan Lab, Previously conducted research at Dana-Farber Cancer Institute

Data Science in Action: From Public Health to Astrophysics

Data Science in Action: From Public Health to Astrophysics

Data Science in Action: From Public Health to Astrophysics

Data Science in Action: From Public Health to Astrophysics

Lauren Shen, Massachusetts Institute of Technology

Lauren Shen, Massachusetts Institute of Technology

Lauren Shen, Massachusetts Institute of Technology

Lauren Shen, Massachusetts Institute of Technology

Computer Science & Mathematics at MIT, 3x International Science & Engineering Fair (ISEF) Qualifier, Research Science Institute (RSI) Alum, 3x US National Chemistry Olympiad (USNCO) National Finalist

Computer Science & Mathematics at MIT, 3x International Science & Engineering Fair (ISEF) Qualifier, Research Science Institute (RSI) Alum, 3x US National Chemistry Olympiad (USNCO) National Finalist

Computer Science & Mathematics at MIT, 3x International Science & Engineering Fair (ISEF) Qualifier, Research Science Institute (RSI) Alum, 3x US National Chemistry Olympiad (USNCO) National Finalist

Computer Science & Mathematics at MIT, 3x International Science & Engineering Fair (ISEF) Qualifier, Research Science Institute (RSI) Alum, 3x US National Chemistry Olympiad (USNCO) National Finalist

Code to Consciousness: Building Robots & Machine Memory

Code to Consciousness: Building Robots & Machine Memory

Code to Consciousness: Building Robots & Machine Memory

Code to Consciousness: Building Robots & Machine Memory

Dylan Zhou, Stanford University

Dylan Zhou, Stanford University

Dylan Zhou, Stanford University

Dylan Zhou, Stanford University

Machine Learning Engineer at Google, Robotics Research @ Stanford AI Lab, B.S. in Physics and Computer Science from Harvard, Named a Harvard Undergraduate Technology Innovation Fellow

Machine Learning Engineer at Google, Robotics Research @ Stanford AI Lab, B.S. in Physics and Computer Science from Harvard, Named a Harvard Undergraduate Technology Innovation Fellow

Machine Learning Engineer at Google, Robotics Research @ Stanford AI Lab, B.S. in Physics and Computer Science from Harvard, Named a Harvard Undergraduate Technology Innovation Fellow

Machine Learning Engineer at Google, Robotics Research @ Stanford AI Lab, B.S. in Physics and Computer Science from Harvard, Named a Harvard Undergraduate Technology Innovation Fellow

Other Programming & Resources

Other Programming & Resources

Other Programming & Resources

Other Programming & Resources

In addition to the core lectures and Academics Workshops, the program hosts a variety of supplementary events and resources that provide students with additional learning opportunities. These include Discussion Sessions, Office Hours, and other optional activities designed to support learning and engagement. More detailed information about these resources is provided in the SRS Handbook, which is shared with students upon acceptance to the program.

In addition to the core lectures and Academics Workshops, the program hosts a variety of supplementary events and resources that provide students with additional learning opportunities. These include Discussion Sessions, Office Hours, and other optional activities designed to support learning and engagement. More detailed information about these resources is provided in the SRS Handbook, which is shared with students upon acceptance to the program.

In addition to the core lectures and Academics Workshops, the program hosts a variety of supplementary events and resources that provide students with additional learning opportunities. These include Discussion Sessions, Office Hours, and other optional activities designed to support learning and engagement. More detailed information about these resources is provided in the SRS Handbook, which is shared with students upon acceptance to the program.

In addition to the core lectures and Academics Workshops, the program hosts a variety of supplementary events and resources that provide students with additional learning opportunities. These include Discussion Sessions, Office Hours, and other optional activities designed to support learning and engagement. More detailed information about these resources is provided in the SRS Handbook, which is shared with students upon acceptance to the program.

  • Sophia Zhang

    Alum from Colorado, USA

    Ajsel Budlla

    Alum from Albania

    William Wu

    Alum from China

    Elena Klopfenstein

    Alum from Arizona, USA

    Mateus Rocco

    Alum from The Cayman Islands

    Satya Palomar

    Alum from The Philippines

  • Sophia Zhang

    Alum from Colorado, USA

    Ajsel Budlla

    Alum from Albania

    William Wu

    Alum from China

    Elena Klopfenstein

    Alum from Arizona, USA

    Mateus Rocco

    Alum from The Cayman Islands

    Satya Palomar

    Alum from The Philippines

  • Sophia Zhang

    Alum from Colorado, USA

    Ajsel Budlla

    Alum from Albania

    William Wu

    Alum from China

    Elena Klopfenstein

    Alum from Arizona, USA

    Mateus Rocco

    Alum from The Cayman Islands

    Satya Palomar

    Alum from The Philippines

  • Sophia Zhang

    Alum from Colorado, USA

    Ajsel Budlla

    Alum from Albania

    William Wu

    Alum from China

    Elena Klopfenstein

    Alum from Arizona, USA

    Mateus Rocco

    Alum from The Cayman Islands

    Satya Palomar

    Alum from The Philippines

© 2026 Summit Education. All rights reserved.

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© 2026 Summit Education. All rights reserved.

Accessibility

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© 2026 Summit Education. All rights reserved.

Accessibility

Privacy Policy

Terms of Service

© 2026 Summit Education. All rights reserved.

Accessibility

Privacy Policy

Terms of Service