Instructors

Benjamin Young

In AI and computer science training—including USAAIO, USACO, and software development courses—what truly sets students apart is not titles or credentials, but the ability to turn abstract ideas into clear, executable thinking.

Benjamin Young has worked with top technology, finance, and telecommunications companies in the United States as a Technical Director, Principal Engineer, and other senior leadership/management roles, bringing over 20 years of hands-on experience solving complex problems in software engineering, AI, machine learning, system/network administration, and large-scale technology systems. His broad industry experience gives students a unique perspective on how professional engineers and leaders tackle real-world challenges across multiple domains.

A graduate of Peking University and a long-time member of the Association for Computing Machinery (ACM), Benjamin combines strong theoretical foundations with practical problem-solving expertise. He understands that success in competitive programming, AI, and computer science is not about memorizing templates, but about developing structured thinking, adaptability, and confidence.

In his courses, the focus goes far beyond writing correct code:

• Understanding problems deeply before implementation
• Breaking down complex challenges into manageable, logical steps
• Developing reusable thinking patterns rather than one-off solutions
• Applying concepts to real-world scenarios in AI, computer science, and software systems

Lessons are interactive, reasoning-driven, and practice-oriented, guiding students to think like engineers and leaders—skills that help them perform steadily in competitions, build practical AI and software expertise, and grow as independent problem-solvers.

Our goal is not just to train high-scoring competitors, but to nurture students who can think independently, solve meaningful problems, and build a strong foundation for their future in AI, computer science, and software engineering.

Contact: benjamin@comrite.com

Alex – Lead Teaching Assistant, Python & C++

Alex is the Lead Teaching Assistant for Python and C++ at Comrite, guiding students through the fundamentals of programming while helping them develop practical, hands-on coding skills. With extensive experience in Python, C++, and related development tools, Alex helps students debug code, understand core programming concepts, and build real-world projects.

Passionate about fostering a supportive and interactive learning environment, Alex focuses on making programming accessible, engaging, and empowering for all learners. Lessons under Alex’s guidance emphasize problem-solving, computational thinking, and practical application, ensuring that students not only write code but also think like engineers, preparing them for competitive programming, AI, and software development challenges.

Angie Wang – Lead Teaching Assistant, Beginner Python

Angie Wang is the Lead Teaching Assistant for Beginner Python at Comrite, guiding students through the fundamentals of Python programming with a hands-on, project-oriented approach. With extensive experience in Python and related development tools, Angie helps students debug code, grasp core programming concepts, and build practical, real-world projects.

Passionate about creating a supportive and interactive learning environment, Angie focuses on making coding accessible, engaging, and empowering for all learners. Her lessons emphasize problem-solving, computational thinking, and practical application, ensuring that students not only write code but also develop confidence and think like engineers from the very beginning.

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Benjamin Young

在人工智能（AI）和计算机科学培训中——包括 USAAIO、USACO 以及软件开发课程——真正能让学生脱颖而出的，不是头衔或证书，而是将抽象理念转化为清晰、可执行思维的能力。

Benjamin Young 目前在美国顶尖科技公司工作，同时曾在金融和电信领域担任技术总监、首席工程师等高级管理/领导职务，拥有 超过20年的实际操作经验，解决过软件工程、AI、机器学习、系统/网络管理以及大规模技术系统中的复杂问题。他广泛的行业经验，为学生提供了独特的视角，让他们了解专业工程师和技术领导者如何在多个领域应对真实世界的挑战。

Benjamin 毕业于 北京大学，并且是长期会员的 计算机协会（ACM）。他将坚实的理论基础与实际问题解决能力相结合，深知在 竞赛编程、AI 和计算机科学 中的成功，并不在于死记硬背模板，而在于培养 结构化思维、适应能力和自信心。

在他的课程中，重点远不止于编写正确的代码：

• 深入理解问题，在动手实现前进行分析
• 将复杂挑战拆解为可管理的逻辑步骤
• 培养可复用的思维模式，而非一次性解决方案
• 将概念应用于 AI、计算机科学及软件系统的真实场景

课程互动性强，注重 推理驱动和实践操作，引导学生 像工程师和领导者一样思考——这些能力不仅帮助学生在竞赛中稳定发挥，也能建立实际的 AI 和软件开发能力，并成长为独立的解决问题的人才。

我们的目标不仅是培养高分选手，更是 培养能够独立思考、解决有意义问题，并为未来在 AI、计算机科学及软件工程领域打下坚实基础的学生。

联系方式： benjamin@comrite.com

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Alex – Python & C++ 首席助教

Alex 是 Comrite 的 Python 与 C++ 首席助教，指导学生掌握编程基础，同时帮助他们发展 实际操作的编程技能。凭借在 Python、C++ 及相关开发工具方面的丰富经验，Alex 帮助学生 调试代码、理解核心编程概念，并完成真实项目实践。

Alex 热衷于营造 支持性和互动性强的学习环境，致力于让编程 易于理解、有趣且赋能学习者。在 Alex 的指导下，课程强调 问题解决能力、计算思维与实践应用，确保学生不仅会写代码，还能 像工程师一样思考，为 竞赛编程、人工智能和软件开发挑战做好准备。

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Angie Wang – 初级 Python 首席助教

Angie Wang 是 Comrite 初级 Python 首席助教，通过 动手、项目导向的方式指导学生掌握 Python 编程基础。凭借在 Python 及相关开发工具方面的丰富经验，Angie 帮助学生 调试代码、理解核心编程概念，并完成真实项目实践。

Angie 热衷于营造 支持性和互动性强的学习环境，专注于让编程 易于理解、有趣且赋能学习者。她的课程强调 问题解决能力、计算思维与实践应用，确保学生不仅会写代码，还能 从一开始就建立信心并像工程师一样思考。