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Andrew Adams is an experienced data scientist who has previously worked with IBM and the BC Centre for Excellence in HIV/AIDS on using machine learning and personalized medicine approaches for reducing the disease burden of HIV-1 infected patients. Andrew also developed a great deal of experience working with high performance computing resources and Monte Carlo simulations with the machinery and members of the Western Canadian Research Grid. Through this work Andrew has developed a passion for handling, developing, and applying approaches to accurately model large data sets.

Andrew started his academic career at McGill University completing his Bachelor of Commerce before moving to pursue an education in a higher level of mathematics. While completing his MSc. in applied mathematics, Andrew developed an interest in combining rigorous probability and dynamical systems to model real world problems in the biomedical and health care fields. Along with the Complex Systems Modeling Group at Simon Fraser University Andrew was able to apply these skills to modeling work place efficiency in the BC criminal justice system as well as model the spread and possible interventions that could be done on Vancouver’s HIV epidemic.

After finishing his degree and internship Andrew has worked on developing Python code to automate ordering and pricing for small businesses to streamline their workload and data collection. He enjoys working with and learning from people in all academic fields as well as teaching and helping people to understand how mathematics and statistics can improve and inform many workplace decisions. Andrew is excited to join the HDR team and continue to help businesses get more out of their information.