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Unfortunately, many high school students do not have the chance to learn STEM (science, technology, engineering, and mathematics) disciplines before colleges. Such limited opportunities do not allow to determine studentsβ career paths in a proper way. Based on this aspect, KSEA Chicagoland (Korean-American Scientist and Engineers Association) has provided a mentoring program designated for Korean high school student near Chicago area since 2018. The main goal of the mentoring program is to develop studentβs understanding of STEM disciplines and to utilize their own abilities to find and solve a problem. The mentors in this program are expertise in various STEM fields and have long-term experience. Up to the current program, more than thirty high school students completed their projects and successfully delivered their final reports. We are now accepting new applications for the 4th 2020-2021 KSEA Chicagoland Mentoring program. Please refer to the materials via the links below to learn more about the program and mentors. Due to the Covid-19 pandemic, all 2021-2022 programs will be carried out via an on-line platform.
Overview of KSEA Mentoring Program: presentation
Mentors list
1. Michael Choi β Computer Science:Β presentation
2. Dongwook Jang β Data Science: presentation
3. Kyung Kim β Machine Learning: presentation
4. Youngsoo Park β Robotics: presentation
5. Hoichang Lee β Biology (Reproductive): presentation
6. Taeyoon Kim β Quantum Computing: presentation
7. DongHyun Kim β Biomedical Engineering: presentation
8. Young-Kee Kim β Physics:
9. Anna Young β Environmental & Green chemistry: presentation
11. Heejin Jeong β Human Factors Engineering & HCI: presentation
12. Amy Han β Data Science: presentation
13. Zuhawn Sung β Physics/Material Science: presentation
How to apply:
Fill out the form below to apply for the program.
The application will be closed at 11:59pm, Sep 12, 2021 (CDT).
Please contact thru mentoring.kseachi@gmail.com KSEA-Chicagoland if you have further questions.
Click this form link or scan the QR code: