Our main research interests are concerned with the broad field of plant genomics and evolution. We use comparative, bioinformatics approaches to gain insights into the fascinating evolutionary dynamics of plant genomes. In this process, we develop novel computational tools, based on machine learning, reinforcement learning, and advanced probabilistic evolutionary models to infer functional regions and to link these to phenotypic changes. 

Specific Research interests/topics: 

• Genome editing
• Genomics
• Whole genome duplications
• Phylogenetics
• Genotype-phenotype associations
• Plant evolution

Research methods: 
Statistical modeling, bioinformatics, comparative genomics, machine learning 

Main projects in the lab include:
1. Artificial intelligence in phylogenetics 
2. Developing methods for genotype-phenotype associations
3. Developing methods for the inference of whole genome duplications
4. Developing methods for optimal genome-editing experiments 

Lab Facilities and capabilities:
• Development state-of-the-art methodologies for various aspects in computational biology, including thoese related to genomics and genome editing

Available Research Services:
1. Optimal genome editing design for gene-family editing, libraries preparations 

Potential industries:
1. Biotech
2. Agtech