Roles
- Research Associate Professor of Pediatrics
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Biography
Dr. Klaus Schmitz-Abe's area of excellence is investigation. He is an applied mathematician with more than 16 years of experience as a statistical geneticist focused on the determination and development of mathematical models and statistical methods for the localization, detection, and characterization of the genes that underlie human disease.
After Dr. Schmitz-Abe obtained his PhD degree in Applied Mathematics from the University of Oxford in 2008, he moved to Boston the following year and began aa career in the medical field at Boston Children's Hospital as a Research Fellow in the Genetics and Genomics Division focusing on determining the genetic basis of various rare diseases.
Dr. Schmitz-Abe received his second academic appointment as an Assistant Professor at Harvard Medical School in 2023. Currently, he is an Associate Professor at the University of Miami in the Division of Neonatology.
Dr. Schmitz-Abe is also an associate member of the Broad Institute of MIT, and the Homozygosity Mapping Collaborative for Autism Consortium (HMCA) where he collaborates on several projects. Dr. Schmitz-Abe has published extensively in several high-impact journals and has presented my research locally, nationally, and internationally. In addition, he has mentored several clinicians, fellows and summer students. -
Education & Training
Education
Post Graduate Training
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Teaching Interests
Mathematical modeling in Human Genetics -
Research Interests
Dr. Schmitz-Abe's main interest is mathematical modeling and the application of mathematics to real-world problems. His long-term research interests are to develop novel cutting-edge methods in combination with traditional genetic techniques to unlock the mysteries of the genetic basis of various diseases.
Furthermore, Dr. Schmitz-Abe seeks to translate those biological insights into better diagnostic tests and future therapeutics. Specific examples include (but not limited to): next-generation sequencing (NGS), copy number variation detection (CNV), RNA-seq, Homozygosis mapping, family-based linkage approaches, machine learning methods (ML) and cohort analysis using Monte-Carlo simulation for biological pathways. Dr. Schmitz-Abe loves teaching. -
Publications
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Articles & News
Disclaimer:
Information presented in this section has been consolidated using AI and machine learning technologies. While every effort has been made to ensure accuracy, errors may occur. If you identify any inaccuracies, use this link to inform our data team. Your feedback is appreciated and helps us improve the quality of our content.