Iain Wallace
About Iain Wallace
Iain Wallace is the Director of Research Data Utilization at Bristol Myers Squibb, with a diverse background in data science and bioinformatics across several pharmaceutical companies and academic institutions.
Title
Iain Wallace is currently the Director of Research Data Utilization at Bristol Myers Squibb.
Current Role at Bristol Myers Squibb
Iain Wallace holds the position of Director of Research Data Utilization at Bristol Myers Squibb. In this role, he focuses on maximizing the utility of research data to support drug discovery and development.
Previous Roles and Experience
Iain Wallace was formerly Associate Director Knowledge Dissemination at Bristol Myers Squibb from 2019 to 2021 in Cambridge, Massachusetts. Prior to that, he spent 9 months in 2019 as Associate Director at Celgene in Cambridge, Massachusetts. He also worked as a Senior Data Scientist at Merck from 2016 to 2019 in Boston. Additionally, he served as Investigator II at Novartis Institutes for BioMedical Research from 2012 to 2016 in Boston, and as a Marie Curie International Postdoctoral Fellow at EBI from 2011 to 2012, and University of Toronto from 2007 to 2011. Earlier in his career, he was a Mathematical Currency Modeller at Appleton Capital Management in Dublin from 2002 to 2003.
Educational Background
Iain Wallace earned his PhD from University College Dublin, specializing in Multiple Sequence Alignments and Applications from 2003 to 2007. He also holds an MSc in High Performance Computing from Trinity College, Dublin, completed in 2002, and a BSc in Computational Chemistry from the same institution, achieved in 2001.
Technical Expertise and Skills
Iain Wallace has developed a wide range of technical skills including R, Shiny, algorithm development, code optimization, data integration, sequence analysis, network visualization, statistical analysis, compound library design, structure-activity relationship studies, Pipeline Pilot, SQL, Perl, and C.
Research Contributions
Iain Wallace has an h-index of 15 with a total of 15,823 citations across 23 publications. His notable contributions include developing visualization tools for shRNA knock-down experiments, designing compound libraries to enhance screening processes, and analyzing chemogenomic datasets to uncover novel chemical probes.