Cancer Cell / 2021
Staff AI Scientist at Noetik
Yubin Xie, PhD
Building AI to
understand cancer.
I work at the intersection of AI and oncology, using sequencing and imaging data to understand cancer and build models of cellular biology.

Research
Understanding cancer through data.
My work connects machine learning with the complexity of living systems.
At Noetik, my research interests include virtual cell foundation models and AI for oncology. During my PhD in the Tri-Institutional Program in Computational Biology and Medicine, I studied cancer progression and metastasis using high-dimensional sequencing and imaging data.
- AI for cellular biology
- Learning representations of cells and their environments from biological data.
- Cancer progression & metastasis
- Understanding how tumors evolve, spread, and interact with the immune system.
- Single-cell & spatial data
- Connecting molecular measurements with tissue context through machine learning.
Selected publications
Full publication list on Google ScholarUpdates
Conferences & community.
Virtual cell foundation models at AACR
Poster presentation on our virtual cell foundation model at AACR 2025 in Chicago.
ICLR workshop organization
Organizer of I Can’t Believe It’s Not Better at ICLR 2025 in Singapore.
Outside the lab
Vinyl, jazz, bouldering, and capturing everyday moments.