Hayat Lab: single-cell spatial omics and target discovery
We develop computational methods that turn single-cell and spatial omics data into an understanding of human disease, and into new therapeutic targets.
News
All news- Sikander Hayat presents “What Are Foundation Models and GPT-Style AI, Really?” at ASN Kidney Week 2026 22 October 2026
- Ang Li and Leon Frommer attend the Target Validation conference at the Wellcome Sanger Institute 23 September 2026
- Sikander Hayat presents at the 8th Graz Expert Meeting on Single Cell RNA Sequencing 13 September 2026
Team
All team members- Prof. Dr. Sikander Hayat, Ph.D. Principal Investigator
- Tore Bleckwehl, Ph.D. Postdoctoral researcher
- Vivien Goepp, Ph.D. Postdoctoral researcher
- Er Jin Postdoctoral researcher
- Sidrah Maryam, M.Sc. PhD student
- Suchanda Bhattacharyya PhD student
- Sadaf Ijaz, M.Sc. PhD student
- Leon M. Frommer, M.Sc. PhD student
- Ang Li, M.Sc. PhD student
- Rishabh Sharma, M.Sc. Data Science Analyst
- Tarik Baykara, B.Sc. Master's student and student assistant (HiWi)
- Wensheng Zhang, B.Sc. Master's student
Research areas
Overview of all areas- AI agents for hypothesis generation Large language model agents that generate biomedical hypotheses from single-cell, spatial omics and drug–target data.
- Spatial omics & histopathology co-learning Co-learning from spatial omics and histopathology images, with the aim of predicting molecular features from histopathology alone.
- Biomedical knowledge graphs Integrating biomedical databases and single-cell data into knowledge graphs, and using graph representation learning to find therapeutic targets.
- Spatial pattern discovery Methods for the full spatial transcriptomics workflow: segmenting cells, quantifying their spatial relationships and finding recurring tissue niches.
- Virtual patient representations Transformer models that summarize the single-cell data of a patient as one representation, as a basis for in silico perturbation and for integration with electronic health records.
- Multi-omics of IgA nephropathy
- Spatial transcriptomics of myelofibrosis
Publications
Content coming soon.