Broadly-trained data scientist with expertise in health care and neuroscience data, skilled at data analytics and machine learning, project management, problem solving, and communication. Award-winning researcher and instructor.
• Programming: python, pyspark, R, MATLAB, SQL, UNIX/shell
• Tools: Pandas, SciPy, Scikit-learn, NumPy, Matplotlib, RShiny, ggplot, PostgresSQL, Flask, Keras, Spark, Hive, Hadoop ecosystem
• Techniques: Logistic/linear regression, mixed effects models, PCA, ICA, Gaussian mixture models, clustering (k-means, HCA, LDA), k-nearest neighbor, support vector machines, Bayesian inference modeling, deep learning (LSTMs, CNN)
• Communication: Skilled at sharing complex concepts with a range of audiences, including scientists, government, patients, clinical providers, and the public (30+ talks, 15+ peer reviewed publications).
• Leadership/Project Management: Lead an international team of data scientists and architects; directed multiple cross-institution, multi-year neuroimaging projects, supervised and trained 15+ data scientists, solution architects and PhD students.