Academy & Lab

Our academy group will put hands on interns and students's project and allow them to connect to real world scope mobile app development. From algorithm, to web, and to app development, interns and students will effectively implement skills and have real time feedbacks. Most of our interns end up working at FAANG and students end up studying at IVY League Schools, Stanford University, and top public such as UC Berkeley, UCLA and University of Michigan.

Members

Departments

Fintech

A fintech lab specializes in researching and developing advanced financial technologies to redefine how individuals and businesses manage money. With a strong focus on quantitative analytics, data modeling, and algorithmic solutions, these labs explore areas such as automated trading systems, risk assessment tools, blockchain innovation, and AI-driven financial forecasting. By combining academic rigor with technological expertise, fintech labs aim to prototype and launch disruptive solutions that improve financial efficiency, accessibility, and security.

Honored Members : Isaac T
App Dev

An app development lab is dedicated to designing and prototyping cutting-edge mobile and web applications tailored to diverse needs. These labs focus on user-centered design, scalability, and integrating emerging technologies such as augmented reality, AI, and IoT. Whether creating consumer-focused apps or enterprise-grade solutions, their mission is to explore and push the boundaries of functionality, user experience, and digital engagement through iterative innovation and testing.

Top Members : Marc J | Alex T | Lawrence L
Algorithm

An AI/ML/USACO algorithm research lab focuses on creating and refining computational algorithms to address complex, real-world challenges. These labs are at the forefront of advancements in optimization, machine learning, artificial intelligence, and data science. With applications spanning industries such as healthcare, logistics, finance, and robotics, they work to develop predictive models, automated systems, and decision-support tools that are both efficient and scalable. By blending theoretical research with practical implementation, these labs drive innovation in computational problem-solving.

Top Members : Thomas Y | Derek P

Sample Curriculum