Our Team

Maya Waterland

Senior Data Scientist
Data scientist applying analytical background in computational biophysics to develop AI solutions for the life sciences


Software design, development, and management for data processing and ML applications
Supervised and unsupervised learning
Natural language processing


BS, Chemistry and Statistical Modeling, University of Texas at Austin


  • Developed NLP and unsupervised learning pipelines for consumer trend extraction from text datasets
  • Developed production-grade automation and QA pipelines for oncology medical device
  • Engineered novel algorithm for skin-tone detection to measure bias in top facial recognition datasets


  • Research focus on phospholipid interfacial dynamics and interactions published at The Journal of Physical Chemistry
  • Competition-winning work applying deep learning for OCR
  • FTIR spectroscopy, spectral analysis and visualization
  • Bioinformatics, statistical analysis and modeling