Maya Waterland • Mercury Data Science

Maya Waterland

Senior Data Scientist

Data scientist applying analytical background in biophysics and computational chemistry to develop AI solutions for the life sciences.

Expertise

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

Education

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

Background

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

Experience

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

Connect on linkedin

Back to Team Page

Find out how we can accelerate your potential