About
Kenneth Lange is a Professor at the University of California, Los Angeles (UCLA) in the departments of Computational Medicine and Human Genetics. He holds the Maxine and Eugene Rosenfeld Endowed Chair in Computational Genetics and focuses on genomic data analysis, statistical genetics, and optimization algorithms for biomedical applications.
His research interests span
- Computational Genetics
- Biomedical Big Data
- Statistical Methods for Gene Mapping
- Optimization Algorithms
- Machine Learning
Dr. Lange's publications (2024-2013) emphasize statistical genetics, computational biology, and optimization techniques. Key trends include haplotype analysis, neuroimage registration, ancestry-informative markers, and penalized regression methods.
Scientific awards include the Maxine and Eugene Rosenfeld Endowed Chair in Computational Genetics. He has advised graduate students such as Seyoon Ko, Benjamin Chu, and Jeanette Papp, with significant contributions to genomic analysis and biomedical informatics.
Dr. Lange leads NIH-funded projects like R35GM141798 (Modeling, Inference, and Optimization for Genomic and Biomedical Big Data, 2021-2026) and co-led T32HG002536 (Genomic Analysis Training Grant, 2002-2022). He has also participated in grants for statistical methods (R01GM053275, 1995-2021) and integrative biology (T32GM008185, 1987-2023).
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