Liam Hanson
Technical Writer at C.A.V.E. Solutions- Claim this Profile
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Bio
Experience
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CAVE Solutions
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United States
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Pharmaceutical Manufacturing
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1 - 100 Employee
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Technical Writer
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Dec 2019 - Present
Work independently to manage task timelines. Strictly follow written procedures. Comply with Good Documentation Practices and Data Integrity. Understanding of change control and the document approval process. Ability to generate technical documentation based on existing examples with appropriate customer and team guidance. The ability to incorporate technical comments, compliance-based comments, and the preferences of clients into document revisions that satisfy the needs of key stakeholders while remaining within budget and schedule constraints. Familiarity with document control systems. Basic understanding of life sciences regulations applicable to commissioning, qualification and validation. Will ask for help and guidance as needed from colleagues and management. Ability to write and execute IQ/OQ/PQ Protocols and Summary Reports and commissioning documents. Ability to read engineering documents and drawings (P&IDs et al.) Show less
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North Carolina State University
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United States
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Higher Education
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700 & Above Employee
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Applied Mathematics and Statistics Researcher
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May 2021 - Oct 2022
Collaborated with a team of 4 other undergraduates as well as faculty and graduate mentors to develop and write an academic paper on a Bayesian-inferential SIR model for the spread of COVID-19 in over 3000 counties of America Developed the project’s primary data processing architecture throughout all stages including the collection of data from official sources and its subsequent interpolation and visualization using R Cultivated strong communication and public speaking skills via weekly presentations to other research teams in the program with an emphasis on granting understandability to complicated mathematical and statistical concepts Improved otherwise-infeasible computational run times by over 10,000% using cluster computing Explored and learned Bayesian techniques to contribute to and test the project’s workhorse algorithm Employed extensive use of R’s “optim” function to improve parameter convergence in the algorithm Conducted comprehensive academic research on the topic; drafted and work-shopped scientific paper in Overleaf, LaTeX Coached and mediated between other team members through various challenges encountered throughout research Show less
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Education
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University of North Carolina at Chapel Hill
Math, Applied Mathematics