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More than four years after the world first learned about COVID that led to an unprecedented global health crisis in modern history and upended life as we knew it, UCLA researchers behind the SwabSeq COVID-19 PCR test came together November 13 in honor of SwabSeq’s third anniversary and its milestone of reaching 2 million processed tests.

Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key resource in human genetics. However, phenotypes in biobanks are often missing across many individuals, limiting their utility. We propose AutoComplete, a deep learning-based imputation method to impute or ‘fill-in’ missing phenotypes in population-scale biobank datasets. When applied to collections of phenotypes measured across ~300,000 individuals from the UK Biobank, AutoComplete substantially improved imputation accuracy over existing methods.

Three PhD students supported by the Biomedical Data Science for Precision Health Equity training program, along with PI Professor Bogdan Pasaniuc (Computational Medicine) and Professor Alex Bui (Radiological Sciences, Bioengineering), attended the NLM T15 Training Conference, held at Stanford in June. All T-15 institutions from across the country participated in the three-day meeting, which featured a keynote address from Dr.

Recent Biomathematics Ph.D. graduate Alexander Fisher (now an Assistant Professor at Duke) has received the Publisher's Award for Excellence in Systematic Research from The Society of Systematic Biologists. The award is presented to the two best papers based on student research published in Systematic Biology during the previous year.

The award is for the research article: 
Alexander A Fisher, University of California, Los Angeles