Jason Huang

Global Challenge: Reverse engineering the brain

Abstract

GLASS program impacted me in every aspect during my college experience. The most wonderful part for me is that I get to meet the best of my peers who comes from a diverse background and shares the same passion and global vision with me. Every discussion in GLASS was truly inspiring and enlightening. 

GLASS granted me the opportunity of studying abroad in NYU Abu Dhabi, which I could've never thought of if I weren't in GLASS. During the semester of studying away, I get to meet new friend from another side of the globe, and get to visit the Fujairah port, talked to some of the government officials and exchange our opinions in terms of climate change and carbon neutralization. 

I also got my research assistantship position in NYU Abu Dhabi, and I was able to continue this position after I come back to New York. Conducting research under the guidance of PHD students and Professor Yi Fang really helped me to get in the field of machine learning and computer vision, which provided a technical to incorporate into my own GLASS project.

Thanks to the GLASS program's partnership with the NYU Future Lab, I had the opportunity to intern at two distinct startup companies. Throughout these internships as a software engineer, I not only learned how to utilize the tech stack prevalent in the industry but also gained hands-on experience with the operational dynamics of startup companies and the crucial role of entrepreneurship within these settings.

Bio:

As an international student from China, Jason Huang is pursuing a Bachelor of Science in Computer Science, with minors in Mathematics, Robotics, and Finance. His academic interests have always been diverse, focusing on the practical applications of deep learning and artificial intelligence in areas like robotics and finance.

His earliest project that introduced him to machine learning was the Sentimental Analysis System for Film Review. This project allowed me to explore how machine learning can be used to understand and interpret human emotions and opinions in film reviews. Another project that stands out is the Multi-agent Perception System. This project was an exploration into the world of collaborative robotic perceptions.

Perhaps the most challenging and rewarding project I've undertaken is the Zero-shot Indoor Navigation Robot during the summer of his junior year. This project not only allowed him to apply his previous knowledge but also challenged him to think creatively about integrating and fine-tuning various pre-trained models to achieve the multi-modal task of indoor object navigation.

Beyond these projects, his experiences as a Software Engineer at Dataval Venture and as a Research Assistant at NYU's Computer Vision Lab have been invaluable. These roles have given him a platform to apply his academic learning in real-world scenarios, further fueling his passion for technology and its potential to make a positive impact on society.

His journey at Tandon has been characterized by a continuous quest for knowledge and a desire to contribute meaningfully to the field of technology. He is committed to learning, innovating, and collaborating to make a difference in the world through technology.