Rob Harrand

Rob Harrand has extensive work experience in the field of data, systems, and IT. Rob started working at Avacta as the Head of Data, Systems & IT in January 2021. Prior to that, they served as the Technology & Data Science Lead at Avacta Animal Health from May 2015 to January 2021. Before joining Avacta Animal Health, Rob worked as an R&D Manager at Avacta Group Plc from February 2011 to May 2015. Rob also had a role as a Project Technical Lead at Avacta Animal Health from January 2009 to February 2011. Rob's early experience includes working as a Scientist at Avacta Analytical from September 2007 to January 2009.

Rob Harrand's education history includes the following:

- In 1998-2001, they earned a Bachelor of Science (BSc) degree in Physics with Astrophysics from the University of York.

- In 2003-2004, they pursued a Master's degree in Nanotechnology at the University of Leeds.

- From 2004 to 2008, they completed a Doctor of Philosophy (PhD) degree in Physics, also at the University of Leeds.

- In 2011, they obtained a Certificate in Manufacturing Excellence from the University of Leeds.

Additionally, Rob Harrand holds various certifications in different fields, including Data Carpentries Certified Instructor, Kanban for Software Development Teams, Microsoft 365 Fundamentals, Mental Health Awareness for Managers, Internal audit on Medical Device QMS - ISO 13485:2016, Data Governance Fundamentals, Medical Devices Quality Management System - ISO 13485:2016, Improving Your Statistical Questions, Improving your Statistical Inferences, Big Data, Genes, and Medicine, Data quality fundamentals, Capstone: Create Value from Open Data, The Manager's Toolkit: A Practical Guide to Managing People at Work, Case studies in business analytics with ACCENTURE, Foundations of marketing analytics, Foundations of strategic business analytics, Machine Learning Explainability, Building Resilient Streaming Systems on Google Cloud Platform, Serverless Machine Learning with Tensorflow on Google Cloud Platform, Google Cloud Platform Big Data and Machine Learning Fundamentals.