Erich Liang
I am a 3rd year Ph.D. student in Computer Science at Princeton University, advised by Prof. Jia Deng. My research interests include 3D vision, graphics, and generative modeling. I enjoy working on problems that help us combine geometric constraints with large-scale data to build 3D algorithms that mirror how humans perceive the world. Topics I've explored include:
- Imaging & Camera Calibration: lens optics and calibration for mapping 3D onto 2D images.
- 3D Reconstruction & Geometry: mesh reconstruction, inverse graphics, SLAM, NeRFs, 3DGS.
- Generative 3D Models: view-based 3D scene generation, occlusion reasoning, diffusion.
- Benchmarks & Evaluation: benchmarks, datasets, and metrics to train and evaluate 3D algorithms.
Previously, I served as a research assistant at BAIR, collaborating with Prof. Ren Ng and Prof. Avideh Zakhor. I graduated with a B.S. in Mathematics and Computer Science from Caltech, where I worked closely with Prof. Katie Bouman and Prof. Adam Wierman. I have also interned at companies such as Amazon, Meta, Bloomberg, and Microsoft.
Email: erliang [at] princeton [dot] edu
Dear prospective collaborators: Click here for information.
Thank you for your interest in working with me! I am always looking for potential collaborators and motivated students to work together on research.
For collaborators: Please send me an email with a brief description of the research topics or ideas you would like to collaborate on.
For Princeton students: If you're already at Princeton and interested in research opportunities (IW, Senior thesis, undergraduate research), please email me with your resume, transcript, and a brief description of your research interests.
For non-Princeton students: Most research I conduct does not require in-person presence; however, granting access to campus compute and file access may be difficult. If you are interested in remote collaboration, and have access to your own compute needed for your research interests, please reach out via email.
Publications
Mentoring
Current Mentees
David Liu - Undergraduate Student at Princeton, fall 2025.
Benjamin Zhou - Undergraduate Student at Princeton (IW), fall 2025.
Caleb Kha-Uong - Undergraduate Student at Princeton, fall 2025.
William Oh - Undergraduate Student at Princeton, fall 2025.
Chinmaya Saran - Undergraduate Student at Princeton, fall 2025.
Past Mentees
Andrew Wang - Undergraduate Student at Princeton, spring 2025.
Roma Bhattacharjee - Undergraduate Student at Princeton (ST), 2024-2025. She won the Outstanding Computer Science Senior Thesis Prize.
Caitlin Wang - Undergraduate Student at Princeton (IW), 2024-2025.
Rafael Moschopoulos - Undergraduate Student at Princeton, 2024-2025.
Grace Tan - Undergraduate Student at Princeton, 2024-2025.
Arnav Sharma - High School Student, 2024-2025. Now at UMD.
Michel Liao - Undergraduate Student at Princeton (IW), 2023-2025.
William Pan - Undergraduate Student at Princeton (IW), 2023-2024.
Emily Zhou - Undergraduate Student at Princeton, 2023-2024.
Addison Wu - Undergraduate Student at Princeton, 2023-2024.
Sumanth Maddirala - Undergraduate Student at Princeton, 2023-2024.
Mingxuan Wu - Visiting Undergraduate Student at UC Berkeley, 2022-2023.
Teaching
I have experience as a teaching assistant for the following courses:
COS 526: Neural Rendering - Teaching Assistant, Spring 2024
Developed course materials, held office hours, precepts, and graded assignments.
COS 324: Introduction to Machine Learning - Head Teaching Assistant, Fall 2024
Assisted with lectures, coordinated teaching staff efforts for assignment release and grading, designed exam questions, and mentored JRW student projects.