Charlotte Bunne
Tenure Track Assistant Professor
Develops AI methods that model human biology across molecules, cells, tissues and patients, such as predicting cellular responses to perturbations for molecular medicine.
Charlotte Bunne's lab at EPFL works on medical imaging & healthcare AI, proteins, drugs & materials and signal processing & information theory. 16 papers since 2023, 10 at top venues, mostly AISTATS and Nature Methods. 6 PhD students and 4 master's students. 10 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 63%
- PhD students
- 6
- MS students
- 4
- alumni listed
- 10
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 3 · collecting
- 5 papers2025 · T1 3
- 3 papers2024 · T1 1
- 3 papers2023 · T1 3
T1 venuesOtherVenues: AISTATS, Nature Methods, Cell, ICLR, Journal of Chemical Information and Modeling
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI0 papers
- Proteins, drugs & materials0 papers
- Signal processing & information theory0 papers
- model human0 papers
- cells0 papers
Paper list
From the lab homepage.
20265 papers
- DaedalusBeyond Representation: AI in Cellular Discovery
- PNAS (T1)Latent causal diffusions for single-cell perturbation modeling
- NeurIPS (T1)Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition
- Advances in Neural Information Processing Systems (NeurIPS) Evaluations & Datasets (E&D) Trackspora: A Unified Multimodal Dataset for Spatial Proteomics
- Nature (T1)The Virtual Tissues foundation model resolves spatial proteomics across scales
20255 papers
- AISTATS (T1)Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
- ICLR (T1)Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
- Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks TrackMTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology
- Nature Methods (T1)Reproducible image-based profiling with Pycytominer
- International Conference on Learning Representations (ICLR) Workshop on Machine Learning for Genomics ExplorationsTest-Time View Selection for Multi-Modal Decision Making
20243 papers
- Journal of Chemical Information and Modeling3DReact: Geometric Deep Learning for Chemical Reactions
- Cell (T1)How to build the virtual cell with artificial intelligence: Priorities and opportunities
- Nature Reviews Methods PrimersOptimal transport for single-cell and spatial omics
20233 papers
- UAI (T1)Aligned Diffusion Schrödinger Bridges
- Nature Methods (T1)Learning Single-Cell Perturbation Responses using Neural Optimal Transport
- AISTATS (T1)The Schrödinger Bridge between Gaussian Measures has a Closed Form
Where alumni went10 listed
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
Similar labsnearest by research summary
- CNPeking
Guozhang Chen
- Neuroscience & brain-computer interfaces
- USUW
Baosen Zhang
- Learning theory & optimization
- CNSJTU
Meng Jin
23 T1 - USUC Berkeley
Preeya Khanna
- Neuroscience & brain-computer interfaces
- USUIUC
Ge Liu
- Proteins, drugs & materials
- USMIT
Alex Rives
- Genomics & computational biology
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
EPFLcloses