Building Foundation Models for Behavior Understanding
PhD researcher at Georgia Tech advancing the frontier of machine learning through foundation models, generative AI, and representation learning. Passionate about research that is meaningful, impactful, and influential.
Driven by curiosity, powered by innovation
I focus on research that is meaningful, impactful, and influential. My work spans foundation models, generative AI, and representation learning, with the goal of advancing machine learning to solve complex real-world problems. I believe research thrives on the integration of diverse knowledge and insights from multiple perspectives.
Throughout my academic journey, I've explored reinforcement learning, generative AI, and foundation models. As a machine learning intern at LINE, I worked on large language models, computer vision, and customer targeting. These diverse experiences enable me to approach complex problems from multiple angles and develop innovative solutions.
Sharing knowledge is essential to fostering innovation. As advisor of the FinTech & RegTech Club at NTU, I developed workshops and delivered lectures on machine learning, data mining, and smart contracts, reaching over 100 students. I'm committed to empowering others and fostering growth in the ML community.
I'm always excited to collaborate, learn, and grow. My goal is to shape the future of machine learning and make significant impact in artificial intelligence. Whether it's pushing the boundaries of foundation models or mentoring the next generation of researchers, I'm driven by the potential to create meaningful change.
Advancing AI through innovative research and practical applications
Georgia Institute of Technology - BrainML Lab
August 2024 - Present
Carnegie Mellon University - CyLab
May 2023 - May 2024
National Taiwan University - AI & Blockchain Lab
February 2021 - January 2022
National Taiwan University - ML Lab
July 2018 - January 2019
LINE Taiwan - Data Engineering Team
July 2021 - April 2022
National Taiwan University - IC Design Lab
February 2020 - July 2020
Contributing to the advancement of AI research
Tools and technologies I work with
Academic journey and achievements
Doctor of Philosophy (PhD) in Machine Learning
August 2024 - August 2028 (Expected)
Research Focus: Foundation Models, Representation Learning, Behavior Understanding
Advisor: Dr. Anqi Wu
Lab: BrainML
Master of Science (MS) in Electrical and Computer Engineering
May 2022 - May 2024
GPA: 3.90/4.0
Key Courses: Multimodal ML, Learning for 3D Vision, On-Device ML, Embedded Deep Learning, Computer Vision, Machine Learning for Signal Processing, Cloud Computing, Parallel Programming
Teaching: Deep Generative Modeling (2024), Embedded Deep Learning (2023)
Bachelor of Science (BS) in Electrical Engineering
September 2016 - January 2022
GPA: 3.95/4.0
Key Courses: Deep Learning for NLP, Artificial Intelligence, FinTech & Machine Learning, Blockchain & Big Data, Scientific Computing, Web Programming
Leadership: President of FinTech Club (2021-2022), organized seminars with 200+ participants
Bachelor of Business Administration (BBA) in Accounting (Double Major)
September 2019 - January 2022
Interdisciplinary study combining technical and business knowledge
Teaching: Introduction to Decentralized Finance (2022)
Gifted Class of Math and Science
August 2013 - June 2016
Advanced mathematics and science curriculum
Innovative solutions to challenging problems
January 2024 - May 2024
Cache Hierarchy-Based Task Scheduling
August 2023 - December 2023
February 2023 - May 2023
February 2023 - May 2023
March 2022 - June 2022
August 2023 - December 2023
I'm always open to discussing research collaborations, opportunities, or just chatting about AI!