Philip Breen

Migration of high available and low latency data analytics to Google Cloud Platform Technology stack principally consisted of several Java and Python applications and a variety of databases Involved in the recruitment process and onboarding of new developers Improving testing of legacy codes and improving testing practices within the feature teams Assisting front-end team migrate portal to React.js Working across feature teams with different agile delivery models (Scrum and Kandan)

Leading research projects including team assemble Writing numerical libraries, integrating existing modules, designing API Coaching and Mentoring junior team members and PhD students Applying machine learning techniques to problems in numerical integration, theoretical astrophysics and statistical genetics Analysing large astronomical datasets from both observational and simulated data (e.g. gaia)

My research focused on astrophysics simulations specifically the dynamical evolution of star clusters. My research was very successful and was published as a series of papers in a peer reviewed journal (Monthly Notices of the Royal Astronomical Society)