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Brian Cajes has a diverse work experience in software development and data architecture. Brian started their career at FactSet, where they worked as a Software Engineer and led a team of engineers in integrating machine learning applications for real-time financial news. After that, they joined Questlr Labs, Inc as a Software Developer/Consultant, followed by a role as a Senior Software Developer at the Icahn School of Medicine at Mount Sinai. At Mount Sinai, they designed and developed data infrastructure and applications for genomics-focused clinical decision support platforms. Later, Brian became the Lead Data Architect at Regeneron Pharmaceuticals, Inc. Currently, they are the Head of Data and Engineering and Co-Founder at Empirico Inc, a venture-backed therapeutics company focused on target discovery and development using large biological datasets and genetics.

Brian Cajes attended the New York University - Polytechnic School of Engineering, where they studied Computer Science. Brian has additional certifications in various topics, including "Probabilistic Graphical Models 1: Representation" from Stanford University on Coursera, "Deep Learning" from Udacity, and "Machine Learning" from Stanford University on Coursera. Brian also has certifications in other subjects such as "Genes and the Human Condition (From Behavior to Biotechnology)" from the University of Maryland, College Park on Coursera, "Genomic and Precision Medicine" from the University of California, San Francisco on Coursera, "Interprofessional Healthcare Informatics" from the University of Minnesota on Coursera, "Introduction to Data Science" from the University of Washington on Coursera, and "Principles of Reactive Programming" from École Polytechnique Fédérale de Lausanne on Coursera.