About

Our Team

Daniel Konecki

PhD
Senior Data Scientist
Computational biologist with extensive experience in designing and deploying full stack DS products and designing graph and relational databases to support biologically focused AI/ML solutions

Expertise

Database engineering and design
Natural language processing
Graph Theory and Network Analyses
Segmentation analyses and patient stratification
Clustering and Classification for Patient Stratification
Sequence Analysis

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

Experience

  • Strategy and design for cloud based and locally deployed software solutions
  • Software engineering and code productization for deployable DS models
  • Data storage and automation infrastructure for data science workflows

Background

  • Published in Journal of Biological Chemistry, Bioinformatics, Nucleic Acids Research, Alzheimer's & Dementia, Autophagy
  • Development of evolutionary biology models for covariation
  • Research applying evolutionary and network biology to patient stratification and treatment prediction
  • Application of variant annotation and genetic diagnostics for patient diagnostics