Recruiting Fall 2026 PhD Students @ Georgia Tech CSE — Machine Learning, Computer Vision and AI for Science
Hi, I’m Jiayun (Peter) Wang 👋. I will join Georgia Tech CSE as an Assistant Professor in 2026. I am actively recruiting PhD students starting Fall 2026.
🔗 PI website: https://pwang.pw/
🔗 Lab website: TBA
Background
My postdoc is at Caltech, working with Anima Anandkumar. Before joining Caltech, I completed my Ph.D. at UC Berkeley on computer vision, advised by Prof. Stella Yu. My research lies at the intersection of machine learning, computer vision, and AI for medicine/science. Some recent research highlights:
- ML with minimal human supervision – self-supervised learning from unlabeled data for recognition, detection and geometry.
- Efficient AI algorithms – theory-driven model designs leveraging data structures like orthogonality and recurrence.
- AI for Medicine and Science – multi-modal diagnosis with LLMs and computational imaging.
Recruiting Information
I actively look for PhD students for Fall 2026 at Georgia Tech CSE. The school of CSE participates in five Ph.D. programs. I will mainly consider students for the following PhD programs: CSE, CS and ML. If you are interested in building next-generation machine learning and vision models and/or applying AI to biomedical and scientific problems, I’d love to hear from you! Please also apply to corresponding PhD programs.
Future Lab Directions
1️⃣ Core ML and Computer Vision Methods
- Multi-modality, e.g. vision+X, multimodal LLMs
- Generative models and representation learning
- 3D vision, world model, VLA, physical AI
- Physics-aware ML and simulation-based learning
2️⃣ AI for Medicine / Science
- Inverse problems, computational imaging and medical imaging
- Multimodal data integration, e.g. electronic health records (EHRs)
- AI+simulation, physics and other scientific applications
Why Join Us
- Work at the intersection of core ML, computer vision and real-world impact.
- PI has abundant experience in real-world applications, physical AI/sim2real, interdisciplinary collaboration and mentoring experience.
- Collaborate across Georgia Tech’s AI, computing and science ecosystems.
- Get hands-on experience in both theoretical ML and applied domains like computational imaging and real-world applications.
- Engage with a growing network of collaborators at Caltech, Berkeley and beyond.
- Strong connections with industry, supporting students for internships, co-advising, and industrial collaborations.
- Abundant computing and infrastructure (lab has its own 8x Blackwell 6000 96GB GPU, A100/H100 GPU server; gatech HPC like PACE).
If you’re passionate about developing foundational AI models that can understand, generate, and discover across modalities and scientific frontiers — you’re warmly welcome to apply to Georgia Tech CSE!
📩 Feel free to reach out gtlvs.info@gmail.com (a specific email designed for collecting information) with your CV, transcript and a short note about your research interests.
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