Summary
Kipper Fletez-brant is a senior machine learning scientist with 12 years of experience applying data science, statistics, and computational genetics to life sciences problems across industry and government. Currently at Genentech after a multi-year research stint at 23andMe and training at Johns Hopkins, he bridges human genetics, biostatistics, and scalable ML to translate complex genomic signals into actionable insights. His work spans development of QC algorithms and feature-extraction pipelines for high-throughput immunology and genomics datasets, plus production-grade computational biology at consumer and biopharma scale. He holds a PhD in Human Genetics and an MS in Biostatistics, bringing both theoretical rigor and practical pipeline-building to cross-functional teams. Colleagues value his ability to move methods from prototype to robust, reproducible deployment in real-world research settings.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Human Genetics, Doctor of Philosophy - PhD Human Genetics at The Johns Hopkins University School of Medicine
B.A Liberal Arts, B.A Liberal Arts at St. John's College
Johns Hopkins University
Master's degree Biostatistics, Master's degree Biostatistics at Johns Hopkins Bloomberg School of Public Health