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Mary Wood

Data scientist with a passion for health research

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Degrees

Degrees

Master of Science in Biology, Bioinformatics and Genomics Master’s Program
University of Oregon, January 2015 – September 2017

  • Completed an additional 1.5 years of coursework in a traditional biology master’s program, conducting graduate research in evolutionary biology, prior to transitioning to the Bioinformatics and Genomics Master’s Program for this degree
  • Completed an internship at Oregon Health and Science University, gaining practical experience in cancer research and genomics

Bachelor of Science in Biology
University of Oregon, September 2010 – December 2014

  • Graduated Magna Cum Laude with departmental honors
  • Emphasis in Molecular, Cellular, and Developmental Biology; minor in Chemistry
  • Completed coursework in biochemistry, genetics, evolution, and statistics

Additional Training

GAN specialization
DeepLearning.AI via Coursera, October 2022-December 2022

Undertook professional development training to learn about General Adversarial Networks. Coursework included lectures and assignments on building and improving generative models in PyTorch.

Deep Learning Specialization
DeepLearning.AI via Coursera, December 2020-March 2021

Pursued additional training to expand my deep learning knowledge and skills. Coursework included lectures and assignments on structuring and optimizing standard, convolutional, and recurrent neural networks using Python.

Graduate course in machine learning (CS545)
Portland State University, October 2019-December 2019

Sought post-graduate training in machine learning to gain technical skills. Trained neural networks, Naïve Bayes classifiers, and K-Means clustering algorithms from scratch while learning the theory behind a variety of additional supervised, unsupervised, and reinforcement learning algorithms.

CREEDS Spring School for RNA-seq Sequence Analysis
Icahn School of Medicine at Mt. Sinai, May 2017

Accepted among the top third of applicants to an NIH-funded, week-long genomics workshop for graduate students and early career faculty. Engaged in lectures and hands-on exercises to improve skills in transcript assembly, differential expression/co-expression analysis, and gene set enrichment analysis using R.