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College-Bound
Mentorship Program

Work on several projects with mentors
from Stanford, UC Berkeley, Google to become one

Next batch: September 16

College-Bound
Mentorship Program

Work on several projects with mentors from Stanford, UC Berkeley, Google to become one

Next batch: September 16

What's College-Bound Mentorship Program?

What's College-Bound Mentorship Program?

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Our College-Bound Mentorship Program for high school students is a unique opportunity to explore your talents and skills and to develop them under the guidance of experienced and highly qualified mentors.

Our Mentorship program brings mentors from top universities/companies and students together. During the program, your mentor will supervise you in a real-world research process.

By participating in this mentorship program, you will have the opportunity to gain real-world experience, build a compelling portfolio for your college applications, and ultimately succeed academically and professionally.

Join our online College-Bound mentorship program today, and take the first step toward achieving your academic and career goals!

12 Weeks

2 hours per week

100% Online

Sessions are conducted on Zoom

Age

13-18

Individualized Path

Engineering, Data Science, Entrepreneurship, Custom Path

Top ranked Mentors

Google, UC Berkeley, Stanford

Real World Projects

Projects are created with college bound mentors and education advisors for students to gain real-world experience

College Portfolio Consultancy

Workshops and webinars are designed with admission counselors to guide students in college applications

Certification

Successful students will be rewarded certifications

Recommendation Letters

Earn the chance to receive personalized college recommendation letter from mentor

ementoring-hp-content

Our College-Bound Mentorship Program for high school students is a unique opportunity to explore your talents and skills and to develop them under the guidance of experienced and highly qualified mentors.

Our Mentorship program brings mentors from top universities/companies and students together. During the program, your mentor will supervise you in a real-world research process.

By participating in this mentorship program, you will have the opportunity to gain real-world experience, build a compelling portfolio for your college applications, and ultimately succeed academically and professionally.

Join our online College-Bound mentorship program today, and take the first step toward achieving your academic and career goals!

12 Weeks

4 hours per week

100% Online

Sessions are conducted on Zoom

Age

13-18

Individualized Path

Engineering, Data Science, Entrepreneurship, Custom Path

Top ranked Mentors

Google, UC Berkeley, Stanford

Real World Projects

Projects are created with college bound mentors and education advisors for students to gain real-world experience

College Portfolio Consultancy

Workshops and webinars are designed with admission counselors to guide students in college applications

Certification

Successful students will be rewarded certifications

Recommendation Letters

Earn the chance to receive personalized college recommendation letter from mentor

Why College-Bound Mentoring Program?

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Project-based Training

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Cognitive Apprenticeship

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Individualized Program

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Growth Mindset-based Approach

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Mentors from Google, Stanford, Berkeley, etc.

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College Bound Consulting

Our Unique Mentoring Concept
For High School Students

Real world research experience

Individualized curriculum

Hands-on projects with top ranking experts

Certifications & Letter of recommendations from mentors

Career discovery consultancy

College portfolio consulting

Socialize peers with similar career path

A gateway to accustom your dream college life

Our Unique eMentoring Concept

Real world research experience

Individualized curriculum

Hands-on projects with top ranking experts

Certifications & Letter of recommendations from mentors

Career discovery consultancy

College portfolio consulting

Socialize peers with similar career path

A gateway to accustom your dream college life

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Sample Projects

Studying cancer progression under different environmental conditions

Improving the accuracy of Artificial Intelligence models for Cancer MRI images

Prediction stock market trends and correlating with social media sentiments

Understanding Covid sentiments from Social Media data

Survival Predictions of cancer patients based on genetic and imaging data

Sample Projects

Studying cancer progression under different environmental conditions

Improving the accuracy of Artificial Intelligence models for Cancer MRI images

Prediction stock market trends and correlating with social media sentiments

Understanding Covid sentiments from Social Media data

Survival Predictions of cancer patients based on genetic and imaging data

A SAMPLE PROJECT SYLLABUS
Cancer Cell Imaging

WEEK 1. Introduction & Background

Project Introduction. Cancer and glioblastoma cells. Introduction to ImageJ.

WEEK 2. Practice Study

ImageJ analysis on a sample image. Cell tracking with Trackmate. Understanding the parameters and filters.

WEEK 3-5. Analyzing Real Samples

Analyzing real samples using ImageJ. Understanding the plots from ImageJ.

WEEK 11-12.
Report, Final Presentation & Wrap up

Understanding the physical/biological meanings of the final results. Preparing the final report and presentation.

WEEK 8-10.
Python Programming

Python for Statistics. Generating plots using Python (for real samples analyzed at weeks 3-5)

WEEK 6-7. Introduction to Statistical Analysis with Python

Learn and perform Statistical Analysis for real experimental data.
Introduction to Python Programming.

A SAMPLE PROJECT SYLLABUS
Cancer Cell Imaging

WEEK 1.
Introduction & Background

Project Introduction. Cancer and glioblastoma cells. Introduction to ImageJ.

WEEK 2.
Practice Study

ImageJ analysis on a sample image. Cell tracking with Trackmate. Understanding the parameters and filters.

WEEK 3-5.
Analyzing Real Samples

Analyzing real samples using ImageJ. Understanding the plots from ImageJ.

WEEK 6-7.
Introduction to Statistical Analysis with Python

Learn and perform Statistical Analysis for real experimental data.
Introduction to Python Programming.

WEEK 8-10.
Python Programming

Python for Statistics. Generating plots using Python (for real samples analyzed at weeks 3-5)

WEEK 11-12.
Report, Final Presentation & Wrap up

Understanding the physical/biological meanings of the final results. Preparing the final report and presentation.

Cross-Functional Projects and Pathways

Be ready for college while working on the hottest projects with experts from Stanford, UC Berkeley, Google. Customized curriculums are designed for middle and high school students.

Students choose one of the tracks:

  • Engineering
  • Data Science
  • Entrepreneurship
  • Custom Path*

*An individualized path can be created with the mentor

Cross-Functional Projects and Pathways

Be ready for college while working on the hottest projects with experts from Stanford, UC Berkeley, Google. Customized curriculums are designed for middle and high school students.

Students choose one of the tracks:

  • Engineering
  • Data Science
  • Entrepreneurship
  • Custom Path*

*An individualized path can be created with the mentor

Trusted by leading brands

google-logo
microsoft-logo
stanford-logo
berkeley-logo
minecraft-logo
unity-logo

Trusted by leading brands

google-logo
microsoft-logo
stanford-logo
berkeley-logo
minecraft-logo
unity-logo

Our Mentors

Our Mentors

Semi Hasaj

SEMI HASAJ

MBA Data Scientist at C3 AI

Samy Awwad

SAMY AWWAD

Junior at Stanford University

GyunelRashidova

GYUNEL RASHIDOVA

B.S. in Biological Sciences, Research assistant at the Laboratory of Biosensors and Bioinstrumentation

Bahrudin

BAHRUDIN TRBALIC

Ph.D., Candidate at Stanford University

sasha

SASHA ANRONIKOV

Researcher at Stanford University

Lisa Wang

LISA WANG

BSc Harvard University Graduate

RyanSpitler

RYAN SPITLER

Ph.D., Co-Founder and Deputy Director of the PHIND Center at Stanford University

muratbaday

MURAT BADAY

Ph.D., Scientist at Stanford Uni, Founder & CEO at TechDev Academy

EmilyHalford

EMILY HALFORD

Data Analyst, Master of Public Health, Columbia Uni.

AyushKanodia

AYUSH KANODIA

Ph.D. Student in Computer Science at Stanford University

EnricoSantus

ENRICO SANTUS

Senior Data Scientist at Bayer, Invited Speaker at the White House

SofoklisGoulas

SOFOKLIS GOULAS

Ph.D., Senior Research Associate at the Hoover Institution at Stanford Uni.

RayYucel

RAY YUCEL

Ph.D., Data Scientist at Magnimind Inc.Deep Learning Expert

KairatSabyrov

KAIRAT SABYROV

Ph.D., Data Scientist, Data science instructor at Lambda School

PaolaGomez

PAOLA G. GONZALES

Mentor & Educator, Over 2,000 Hours of Mentoring Experience

Aizhan

AIZHAN IBRAYEVA

MSc Researcher at Stanford University

SoudehYaghouti

SOUDEH YAGHOUTI

Ph.D., Data Scientist at Megalab, Silicon Valley

RumeysaDogan

RUMEYSA DOGAN

Co-founder and Chief Operating Officer at TechDev Academy

ismail-marulcu

ISMAIL MARULCU

Ph.D., Co-founder & Chief Academic Officer at TechDev Academy

FAQ

Have Any Question in Mind?

What is a college-bound mentorship program?

The goal of mentorship programs is to help a mentee/student learn skills and obtain information that will guide him/her to attain success in their career. In a college-bound mentorship program, a prospective student is paired with a senior student or a faculty member. These programs help the mentee to expedite his/her career growth. However, from students’ viewpoint, those who are open-minded and keen to learn, usually make the most out of these programs.

What age/grade group is this program designed for?

This program is specifically designed for grades 13-18.

Is it a 1-on-1 program or class?

Based on mentees’ individualized syllabuses, this might be either 1-on-1 or a team study.

How often do mentors and mentees meet?

We anticipate that mentees and mentors will meet once a week for approximately two hours.

What qualifications do your expert mentors have?

The first criteria for mentors are to have an extensive background in a specific field that they are mentoring.

  • They have the required skills for mentorship.
  • They have gone through our technical and pedagogical training
  • They have experience with mentoring K-12 students.

How do you select mentors?

We select our mentors from exclusively successful academics from the top universities such as Stanford and the University of California Berkeley, and professionals from the most successful companies such as Google and IBM.

How do you train your mentors?

Again, we have mentors from the most successful career backgrounds. We train our mentor pedagogically, and as a standard procedure, our mentors are going through background check as well.

How will your engineers and scientist from Silicon Valley be able to relate and build a relationship with my students?

As mentioned earlier, we select mentors with prior experience with students and mentoring. We are also very selective in having good social and communication skills.
Plus, we trained how to communicate and approach the students. We trained them to approach them with a “growth mindset”.
Additionally, all our mentors are guided by supervisors from the company. Supervisors are also meeting students regularly.
If they see a mismatch and communication gap, they support the process and change the mentor if needed.

What are the expected outcomes of the program?

The College Bound Mentorship program is designed to provide high school students with a unique and enriching learning experience. Through this program, students can expect to achieve the following outcomes:
• Academic and Professional Success
• Real-World Experience
• College Readiness
• Personal Growth and Skill Development
• Certificate of Completion
• Recommendation Letters
• Compelling Portfolio

What is your refund policy?

If the registration is canceled before the third week of the program, we provide a full refund. After the third week, it is non-refundable.

How do the tuition payments work?

Tuition payments can be made through our online checkout system by using credit cards or the PayPal transfer system. If these payment systems are not available for you, please contact us via email at [email protected]

Are there any prerequisites or tools?

There are no prerequisites for the program. The required tools are a computer, a microphone, a mouse, a web camera, and a zoom account.

Do you offer discounts?

Yes. We offer a $100 discount for early bird registrations, and we sometimes offer a $50 promotional discount. We may offer special discounts for a group of students or schools that partner with us.

How long does the program last?

The program lasts 12 weeks.

How do students engage in projects and studies remotely?

With our Moodle-based Learning Management System, we have created a virtual learning environment that combines cutting-edge technology and pedagogy. Our mentors and mentees meet in interactive sessions via the Zoom program. Video recordings of live sessions are made available on the LMS course page for later use.

How do you track student progress?

Our curriculum is designed such that mentees engage in project-based activities and advance in milestones. Our mentors check and comment on assigned tasks during and after meetings. Also, mentees’ progress is automatically tracked through the LMS. Students and parents have access to their digital portfolios.

Does this program include just one module or do you offer multiple modules?

We offer multiple modules. Each module lasts 12 weeks.

Do you provide help in college applications?

This program aims to equip students with the skills and knowledge needed to succeed academically and professionally. The program also provides an avenue for students to build a compelling portfolio. However, our Elite College Prep Program is specifically designed to provide a comprehensive college admission preparation.

What are the key benefits of this college-bound mentorship program?

When it comes to getting into the right college, college mentors can make the process an easier and stress-free one. Mentors help students discover their abilities by assessing their current experience and skills.

Under the guidance of our mentors, students will be able to focus on their desired career in a better manner.

PRICE

PRICE

$1050

$1050

Select your currency
USD United States (US) dollar
EUR Euro

 

JOHN H. FALK

Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University

 

Dr. John H. Falk is Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University. He is a leading expert on free-choice learning; the learning that occurs when people have significant choice and control over what, where, and when they learn.

Get your syllabus

Get your syllabus

 

CHRISTINE CUNNINGHAM

Professor of Practice of Education and Engineering at Penn State University

 

Dr. Christine Cunningham is a Professor of Practice of Education and Engineering at Penn State University. Her work focuses on making engineering more relevant, accessible, and inclusive, especially for underserved and underrepresented populations. She does this by creating researched-based engineering curricula for PreK-8 children and their educators. Her book, Engineering in Elementary STEM Education, describes her groundbreaking work. Previously, Cunningham was the Founding Director of Engineering is Elementary. Cunningham has received a number of awards; in 2017 her work was recognized with the prestigious Harold W. McGraw Jr. Prize in Education.

 

CHRIS ROGERS

Chris Rogers Professor and Chair of Mechanical Engineering at Tufts University

 

His research interests are:

Engineering Education, Robotics, and Musical Instrument Design

 

Education

Ph., D Mechanical Engineering, Stanford University
M.S., Mechanical Engineering, Stanford University
B.S., Mechanical Engineering, Stanford University

 

Biography

Chris Rogers earned his B.S., M.S., and Ph.D. in mechanical engineering at Stanford University, where he worked with Professor John Eaton on his thesis on particle motion in a boundary layer flow. Rogers joined the Department of Mechanical Engineering at Tufts School of Engineering in 1989. He is involved in a number of research areas, including particle-laden flows (a continuation of his thesis), telerobotics and controls, the slurry flows in chemical-mechanical planarization, the engineering of musical instruments, measuring flame shapes of couch fires, measuring fruit-fly locomotion, and engineering education (kindergarten to college). At Tufts, Rogers has exercised his strong commitment to teaching by exploring a number of new directions, including teaching robotics with LEGO bricks and teaching manufacturing by building musical instruments. His teaching work extends to the elementary school level, where he talks with over 1,000 teachers around the world every year on methods of introducing young children to engineering.

 

RumeysaDogan

RUMEYSA DOGAN

Co-founder and COO at TechDev Academy

  • Graduated from top-ranked business school with high honor
  • Worked in top global companies as Vodafone, Benetton Group, etc
  • Experienced in Product Management and Digital Marketing Analytics
  • Managed Entrepreneurship Club and mentored several entrepreneurs

 

 

ismail-marulcu

ISMAIL MARULCU

Co-founder & Chief Education Officer at TechDev Academy

  • Educator and Researcher since 2001
  • M.Ed. in Curriculum and Instruction from Boston College
  • Ph.D. in STEM Education from Boston College
  • Mentored more than 100 pre-service teachers, college students, and high school students

 

 

PaolaGomez

PAOLA G. GONZALES

Mentor & Educator

  • over 2,000 hours mentoring students and 4 years of teaching experience
  • spearheaded a nonprofit organization that provides mentorship to underrepresented students at the UC, Davis
  • an active member of the Surfrider Foundation

 

 

AyushKanodia

AYUSH KANODIA

Ph.D. Student in Computer Science at Stanford

  • Ph.D. Candidate in Computer Science at Stanford Uni.
  • Worked as a software engineer for Google
  • Expert in the intersection of Computer Science and Economics.

 

 

KairatSabyrov

KAIRAT SABYROV

Ph.D., Data Scientist

  • B.S. in chemistry and physics
  • Ph.D. In physical chemistry
  • Data science instructor at Lambda School
  • Worked at Lawrence Berkeley National Lab at the UC, Berkeley

 

 

BAHRUDIN TRBALIC

Ph.D., Candidate at Stanford University

  • Studied Physics & Electrical Engineering at MIT.
  • Worked at MIT as a Medical Data Analyst and Product Developer.
  • The founder and lead developer of Expert Experiments.
  • Received the 2023 Robert H. Siemann Graduate Fellowship and 2022 NASA Astrophysics Research and Analysis Award.
  • Spearheaded STEM camps across Europe and Asia.
  • He has been mentoring students for years.

 

 

SHASHA ANRONIKOV

Researcher at Stanford University

  • Recent honors graduate from Cornell University with a major in biological sciences and a minor in business at the College of Agriculture and Life Sciences.
  • Currently working at Stanford University in the Nolan Lab to conduct immunopathology research.

 

 

LISA WANG

BSc Harvard University Graduate

  • Studied Environmental Science and Engineering.
  • Cross-registered to Harvard Univ. and MIT.
  • An advisor to the Harvard Undergraduate Clean Energy Group.
  • Co-founder of Coolant, a company that builds software to unlock nature-based carbon markets.

 

 

SEMI HASAJ

MBA Data Scientist at C3 AI

  • Studied Data Science while obtaining his Master's of Business Analytics at MIT.
  • Studied Space Engineering in Toronto, Canada where he grew up.
  • He has spent years tutoring others because he loves to help people learn and grow.

 

 

SAMY AWWAD

Junior at Stanford University

  • Studying Symbolic Systems with a focus on Neurosciences and plans to be a medical doctor.
  • Founded ImmuniGlobal, a national nonprofit in vaccine education, and he was featured in Healthline magazine.
  • A published researcher in PubMed.
  • Honored by the CDC as a Flu Fighter during the COVID-19 pandemic.
  • Enthusiastic about empowering young changemakers.

 

 

HASAN TUNCER

Ph.D., Product Manager at Cruise

  • BSc. in Computer Science at Koc University, Istanbul.
  • Ph.D. in Computing and Information Scienves at Rochester Institute of Technology in New York.
  • Worked as a software engineering at Wall Street.
  • Product Manager for Cloud Services (at IBM Silicon Valley Lab), autonomous vehicles (at NIO, aka Chinese Tesla, Uber ATG, Aurora and Cruise)

 

 

RayYucel

RAY YUCEL

Ph.D., Data Scientist in Magnimind Inc.

  • B.S in Materials Engineering
  • M.Sc in Management
  • Ph.D. Candidate in Economics
  • Data scientist at Magnimind Inc.
  • Employs deep learning in finance and health care data

 

 

SofoklisGoulas

SOFOKLIS GOULAS

Ph.D., Senior Research Associate at the Hoover Institution at Stanford University

  • Senior research associate, Stanford Uni.
  • The use of data science and machine learning in economics
  • M.Sc. in finance and economics, Warwick business school
  • MS and a Ph.D. in economics, the Uni. of North Carolina at Chapel Hill
  • Worked at the Uni. of North Carolina and at the Bank of Greece

 

 

EnricoSantus

ENRICO SANTUS

Senior Data Scientist at Bayer

  • Senior data scientist at Bayer
  • Postdoc at MIT, in the group of Regina Barzilay
  • Experience in NLP in Oncology, Cardiology and Palliative Care
  • Experience in Fake News Detection, Sentiment Analysis, and Lexical Semantics.
  • Invited to talk at the White House

 

 

EMILY HALFORD

Data Analyst

  • Data analyst working in psychiatric epidemiology
  • Data Science&Mental Health Expert with the BBN Times
  • Master of Public Health, Columbia Uni.

 

 

RyanSpitler

RYAN SPITLER

Ph.D., Co-Founder and Deputy Director of the Precision Health and Integrated Diagnostics Center (PHIND) at Stanford University

  • Faculty Member, Standford Uni.
  • Founding Partner at Boutique Venture Partners
  • B.S. in Molecular Cell and Developmental Biology, UC, Santa Cruz
  • Ph.D. In Cellular and Developmental Biology, UC, Irvine

 

 

muratbaday

MURAT BADAY

Scientist at Stanford Uni, Founder & CEO at TechDev Academy

  • Co-founder of Smartlens, Magnimind, Wowso, Nanosight
  • M.S. in Physics from the University of Pittsburgh
  • Ph.D. in Computational Biology and Biophysics from the Uni. of Illinois at Urbana-Champaign
  • Mentored and tutored over 100 high school students
  • Developed novel ideas and has over 8 patents

 

 

GyunelRashidova

GYUNEL RASHIDOVA

B.S. in Biological Sciences,
Research assistant at the Laboratory of Biosensors and Bioinstrumentation

  • iGEM alumni, received Gold Medal among 250 teams
  • Fellowship holder from Women in Tech international organization
  • Founder of social projects:
    “OncoSense” - fabrication of device for the detection of cancer biomarkers;
    “RemiSee” - promotion of a colorblind-friendly educational platform
  • AIESEC alumni, organized case competitions with over 300 participants
  • Organized iGEM Biohackathon and Summer Camp for high-school and university students to apply coding for solving real case studies

 

 

SoudehYaghouti

SOUDEH YAGHOUTI

Ph.D., Data Scientist at Megalab, Silicon Valley

  • Ph.D. in Electrical Engineering, University of Naples Federico II, Italy.
  • More than 4 years of experience in data-driven research on electrical network systems.
  • Collaborating with TechDev Academy for several years and taught students data analysis projects.
  • Collaborated with Stanford scientists on projects that aimed to automate medical diagnosis of diseases with the help of image processing techniques and AI.

 

 

AIZHAN IBRAYEVA

MSc Researcher at Stanford University

  • MS. Aerospace Engineering from Purdue University.
  • Did research at Stanford University, Aerospace Science Lab (Purdue), Rarefied Gas Dynamics Lab (Purdue)
  • Worked on projects supported by NASA.
  • Worked as Engineer at Silicon Valley Startup companies.
  • Mentored Students from top US school

 

The class has 5 available spots.
You can add the class during course registration!

 

June 1-5

Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

June 8-12

Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

June 15-19

Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

The class capacity is full.
Please try other classes!