Kristofer Linton-Reid

Kristofer Linton-Reid has worked in a variety of roles since 2013. Kristofer began their career as a Barista and Kitchen Porter for Waterloo Quay Properties, where they developed key skills in stock control, basic arithmetic, effective communication, training and mentoring junior staff, and supervising the facility. In 2014, they worked as a Directed Studies Research Project at The University of British Columbia, gathering, pre-processing, and analyzing long-term potentiation metadata. In 2015, they worked as a Data Specialist for Elsevier. From 2015 to 2019, they worked as an Auxiliary Nurse for the NHS, providing individual centred support to patients and relatives with medical, personal, emotional, and psychological difficulties. In 2018, they worked on an MRes Student Project at Imperial College London, working with the supervision of Dr Panagiotis Vorkas on the lipidomic profiling of a cardiovascular disease cohort. Kristofer also worked on an Honours Research Project at the University of Aberdeen, titled: The Enteric Nervous System: A Gutsy Perspective on Parkinson's Disease. In 2019, they worked as a Data Science Intern for Cambridge Cancer Genomics, working on a project involving the genomic sub-typing of pancreatic cancer. Kristofer also worked as a Graduate Teaching Assistant at Imperial College London in 2020. Theircurrent role is as a Machine Learning Scientist for Transition Bio, Inc., which they began in 2021.

Kristofer Linton-Reid's education history includes a Doctor of Philosophy - PhD from Imperial College London in Clinical Medicine Research (Machine Learning) from 2019-2022, an MRes from Imperial College London in Biomedical Research (Data Science) from 2018-2019, a Bachelors of Science from University of Aberdeen in Pharmacology from 2015-2018, a Neuroscience program from The University of British Columbia from 2014-2015, and a Neuroscience with Psychology program from University of Aberdeen from 2013-2014. Additionally, Kristofer has obtained certifications in R Programming from Coursera in October 2018, The Data Scientist’s Toolbox from Coursera in October 2018, Introduction to Probability and Data from Coursera in July 2018, Responsive Web Design from freeCodeCamp in July 2018, and Intro to Python for Data Science Course from DataCamp.