University of California-Los Angeles · Mathematics & StatisticsDataGenomics Lab
Kenneth L Lange · Los Angeles, California
Research Focus
Dr. Kenneth Lange's lab focuses on developing computational tools to analyze large datasets in the biomedical field, particularly genomics and medical imaging. They work on creating new algorithms and statistical methods to tackle challenges posed by vast amounts of data, such as parameter estimation and model selection. This research aims to improve how we understand and utilize big data in health science, addressing issues like data accuracy and complexity.
big datagenomicsmedical imagingalgorithm developmentstatistical methodsbiomedical informaticsdata mininghigh-dimensional data
Research Aims
5AIM 01Develop algorithms for analyzing large biomedical datasets.
AIM 02Create statistical methods for model selection in genomics.
AIM 03Address challenges of missing and inaccurate data in big data analytics.
AIM 04Construct tools for efficient data mining and modeling.
AIM 05Implement frameworks for genomic association discovery.
Skills the Lab Values
PythonJulia programmingstatistical modelingdata visualizationalgorithm optimizationregression analysismachine learningdata preprocessing
Output against the department
Publications481top 16% of dept.21st of 131
this lab
most publishedleast published
Citations38ktop 15% of dept.19th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.