Area of research
Molecular Biology
Research interest
Research interests include Genomics and Chromatin Dynamics, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies, and Fungal and yeast genetics research.
Motifs and chemistry dictate the role of intrinsically disordered regions.
Inferring fungal cis-regulatory networks from genome sequences via unsupervised and interpretable representation learning.
A functional map of the human intrinsically disordered proteome.
An
<i>in vivo</i>
parallelized reporter assay to uncover tissue-specific splicing regulatory sequences in a multicellular animal
Author response: Recombination shapes the diversification of the wtf meiotic drivers
Author response: Constraints on the G1/S transition pathway may favor selection of multicellularity as a passenger phenotype
Author response: Single-mRNA imaging and modeling reveal coupled translation initiation and elongation rates
Evolutionary conditioning enables guided generation of functionally diverse enhancers
Author Response: The adaptive landscapes of three global Escherichia coli transcriptional regulators
Transformers and genome language models
Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome
Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome.
Disorder meets its match.
Inferring fungal cis-regulatory networks from genome sequences via unsupervised and interpretable representation learning
Decision letter: Accelerated evolution in networked metapopulations of Pseudomonas aeruginosa
Improving the performance of supervised deep learning for regulatory genomics using phylogenetic augmentation.
Decision letter: Insights into early animal evolution from the genome of the xenacoelomorph worm Xenoturbella bocki
Systematic identification of conditionally folded intrinsically disordered regions by AlphaFold2.
Developmental dynamics of RNA translation in the human brain
Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning.
Stochastic models for single-cell data: Current challenges and the way forward.
Decision letter: Determining growth rates from bright-field images of budding cells through identifying overlaps
Editor's evaluation: Determining growth rates from bright-field images of budding cells through identifying overlaps
Identifying molecular features that are associated with biological function of intrinsically disordered protein regions.
A functionally divergent intrinsically disordered region underlying the conservation of stochastic signaling.
A functionally divergent intrinsically disordered region underlying the conservation of stochastic signaling
Condensation of Ded1p Promotes a Translational Switch from Housekeeping to Stress Protein Production
Exploring whole-genome duplicate gene retention with complex genetic interaction analysis
Cdk1 Controls Global Epigenetic Landscape in Embryonic Stem Cells
Exploring whole-genome duplicate gene retention with complex genetic interaction analysis.