Honored with the IBM PhD Fellowship 2024, the CPAL 2025 Rising Star Award hosted by Stanford Data Science, and the MLCommons Rising Star Award in 2024 hosted by NVIDIA.
Research Experience
Gained valuable industry experience through internships at leading technology companies such as Bytedance Seed, Meta AI, Amazon AWS AI Lab, and Cisco Research. At Meta AI, built and deployed SOTA fusion and alignment algorithms across 8–10 distinct modalities, which have been integrated into Meta’s internal production systems. At Bytedance Seed, focused on token-efficient multimodal fusion for Seed-VLM pretraining, designing novel optimizers to improve convergence, stability, and token utilization efficiency.
Education
Fourth-year Ph.D. student at the OPTML Group, Michigan State University, under the supervision of Prof. Sijia Liu.
Background
Research Interests: Trustworthy and scalable machine learning algorithms, particularly for large language models (LLMs), multi-modal language models (MLLM), and diffusion models (DMs). Overview: Committed to bridging theoretical foundations with real-world applications.
Miscellany
Currently on the academic and industry job market. Open to collaboration opportunities with researchers, undergraduate, and graduate students.