∙ Led discussions on validation for many new and existing features in a Medical Device regulated environment

• Worked with various stakeholders to define product requirements, identify risks, and create tests

• Organized testing to streamline project timelines while minimizing risk and ensuring regulations were met

∙ Enabled and led 8-week releases by defining, improving and automating testing processes (reducing release

time by over 30%)

• Automated tests of all levels and implemented continuous integration testing

• Aided in development of automated test reporting and documentation tools

∙ Cooperatively re-architectured codebase to microservices in AWS

• Reduced cost per case, improved scalability in production, and enabled faster team-owned deployments

∙ Collaborated with team to develop new features, improve test coverage, and fix defects

∙ Aided in creation of production monitoring dashboard and alerting

∙ Worked with C++, Python, Jenkins, AWS, Docker, Bash, DataDog

• Computer Science Fundamentals (CS1026), Fall 2016, Summer 2017, Fall 2017

• Introduction to Medical Computing (CS2124/5), Winter 2017

• Computer Networks I (CS3357), Fall 2017

• Duties Include

• Guest lectures

• Leading weekly labs and consulting hours

• Marking and proctoring

• Nominated for SOGS Graduate Student Teaching Award

• Awarded Graduate Student Teaching Award

Systems Analyst, Department of Neuroscience and Mental Health:

• Created pipelines to streamline processes, significantly reducing involvement of users

• Constructed pipeline for preprocessing of functional magnetic resonance images

• Constructed pipeline for analysis (e.g. ICA and seed-based analysis)

• Pipelines automatically organized and visualized final results

• Developed scripts to automate labor-intensive tasks, easing the workload of my team

• Utilized machine learning techniques to automate quality control of diffusion tensor images (DICOM format)

• Worked on High Performance Cluster (HPC) using Python, MATLAB, Bash

Bioinformatician, Center of Computational Medicine:

• Maintained the Genetics and Genomics Analysis Platform within the CCM for use by labs

• Ported/tested existing pipelines into the Genetics and Genomics Analysis Platform

• Ensured code documented and updated versions were compatible within the CCM

• Presented the use of the platform to various labs resulting in adoption of the platform

• Worked with a team to research the development of a novel RNA-Sequencing Pipeline