Allen Tu

I am a PhD student in Computer Science at the University of Maryland, College Park (UMD), advised by Professor Tom Goldstein. My research spans deep learning, computer vision, and graphics, with emphasis on 3D scene reconstruction, multimodal biometric recognition, and generative priors for robust vision systems. I have published in top machine learning conferences, contributing methods in compression and explainability that enable large-scale recognition and 3D reconstruction in real-world settings. In addition to my academic work, I collaborate with both academic and industry partners on problems spanning vision, language, and generative modeling. I completed my BS/MS in Computer Science at UMD in 2024.

I was a Computer Vision Research Intern at Systems & Technology Research (STR), focusing on multimodal biometric recognition, and a Peer Research Mentor in the Capital One Machine Learning FIRE program at UMD, where I mentored over 80 undergraduates in their first research experiences. These roles deepened my interest in building machine learning systems that are both efficient and trustworthy. A recurring theme in my work is designing methods that not only achieve high accuracy, but also scale effectively and provide interpretable signals for decision making. My goal is to advance AI that can be deployed in real-world applications, ensuring systems that are safe, reliable, and beneficial to society.

Visit https://tuallen.github.io/ for my CV, publications, and research experiences!