David van Dijk
Scholar

David van Dijk

Google Scholar ID: fjjZr6UAAAAJ
Assistant Professor, Yale University
machine learningcomputational biology
Citations & Impact
All-time
Citations
9,867
 
H-index
35
 
i10-index
58
 
Publications
20
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • - Cell2Sentence project, fine-tuning LLMs for tasks like cell generation and annotation by encoding scRNA-seq profiles as “cell sentences”. (ICML 2024)
  • - C2S-Scale framework scaled to 27 billion parameters, achieving state-of-the-art performance for complex multicellular analyses. (bioRxiv 2025 Preprint)
  • - CINEMA-OT applies causal inference with optimal transport to disentangle true treatment effects from confounders in single-cell perturbation experiments. (Nature Methods 2023)
  • - 'Intelligence at the Edge of Chaos' pinpointed a “sweet spot” of data complexity that maximizes downstream predictive and reasoning abilities. (ICLR 2025)
  • - MAGIC leverages Markov affinity-based graph diffusion to impute missing transcripts in single-cell RNA-seq data.
Research Experience
  • - Presented 'Intelligence at the Edge of Chaos' at ICLR 2025.
  • - Released C2S-Scale preprint.
  • - Gave a talk at the Broad Institute.
Education
  • No specific educational background information provided
Background
  • Research Interests: Application of artificial intelligence and large-scale foundation models in biomedicine; Specializes in rigorous mathematics, state-of-the-art ML, and rich genomic and clinical data.
Miscellany
  • No additional personal information provided