Maya Waterland • Mercury Data Science

Maya Waterland

Senior Data Scientist

Data scientist applying analytical background in computational biophysics 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

Experience

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

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

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