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Research Computer Specialist
US | Mount Pleasant
During my years as a researcher in both academia and the corporate sector (R&D) I have tackled problems in many domains. I have recently transitioned back to academia as a researcher at the University of Michigan, but my experience over the past couple years in a biotech startup led to me successfully automating and scaling a compute cluster, integrating automated workflow pipelines, building NGS clinical carrier screening software that passed CLIA certification, along with providing linux administrative help to fellow bioinformaticians. Basically, I'm used to wearing multiple hats and at the end of the day I enjoy solving problems. If you have an interesting or pressing problem that needs someone dedicated that will see it through to solution I hope to be your man.
Below are a few examples of finished projects:
Data Munging and ETL Processing - The foundational work of any data science project or platform
Predictive Analytics - A few of my best individual efforts in predictive analytics were submissions to the Kaggle data science competition platform.
Deep Networks - A key interest area I have been studying since 2013 and have continuously applied them in the bioinformatics domain to a myriad of problems. This is still a rapidly evolving area and I enjoy keeping up on every new insight.
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