About

Our Team

Daniel Konecki

PhD
Data Scientist
Computational biologist with a background in phylogenetic modeling, network based prediction, and genomic sample classification and clustering.

Expertise

Sequence Analysis
Model development
Clustering and Classification for Patient Stratification
Graph Theory and Network Analyses

Education

EDUCATION
PhD, Quantitative and Computational Biosciences, Baylor College of Medicine
BS, Computer Science, University of Maryland College Park
BS, Biochemistry, University of Maryland College Park

Background

  • Publications in Bioinformatics, Nucleic Acids Research, Alzheimer's & Dementia, and Autophagy
  • Development of evolutionary biology models for covariation
  • Evolutionary biology, network biology, patient stratification
  • Variant annotation and genetic diagnostics

Experience

  • Phylogenetic study of residue importance and covariation
  • General recommender systems
  • Drug discovery/repurposing
  • SNP and sequence analysis
  • Patient stratification