About Us

Team

Bioinformatics Leadership

Functional Genomics

Venkat Malladi, M.S.

BICF Core Director

Venkat Malladi

Venkat Malladi is a computational biologist and software engineer with expertise in high-throughput sequencing analysis and reproducible software development. He is currently working on implementing and distribution of genomic analysis pipelines to facilitate reproducibility. He directs the daily operations for the BICF and works with collaborators to identify appropriate data and analysis and provide biological context to results obtained.

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Link to Publications 

 

Precision Health

Brandi Cantarel, Ph.D.

Assistant Professor

Brandi Cantarel

Dr. Cantarel is an expert in high-throughput sequence analysis including WGS/WES, RNA-seq, Methyl-seq, metagenomics and the integration of data. Her technical skills include: a) methods and pipeline development for complex data analysis, b) custom database development, and c) web development for data exploration and visualization. She specializes in working with collaborators to identify the right data and analysis for answering biological questions.

Faculty Profile
Publications
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Artificial Intelligence

Andrew Jamieson, Ph.D.

Software Manager

 

 

Born in San Diego, California, raised in Plano, Texas and educated in Chicago, Illinois, Andrew is focused on accelerating scientific discovery by transforming the diverse and powerful image-analysis tools developed in the lab into an integrated, easy-to-use package available to the community. Prior to joining the Danuser Lab in 2016, Andrew was a data scientist for a Dallas-based start-up, held various roles at GE Healthcare, including Scientific Lean Leader, and most recently worked in Pharma Services at NeoGenomics/Clarient as part of the MultiOmyx team delivering advanced image-based biomarker analytics to customers. Andrew received his B.A. (Physics) and Ph.D. (Medical Physics) from the University of Chicago. In his free time, Andrew is a dilettante pop cultural critic: listening to a variety of podcasts on a variety of topics-including philosophy, watching David Lynch films, and tuning in to the latest BBC Essential Mix.

Publication Profile

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Functional Genomics

Spencer Barnes, M.S.

 SpencerBarnes

Computational Biologist I

Spencer Barnes is a Computational Biologist specializing in NGS data analysis such as RNA-Seq, ChIP-Seq, and ATAC-Seq. He is currently working on epigenomics projects as well as assisting with incoming requests from the Help Desk.

 

Holly Ruess, M.S.

 

Computational Scientist 

Holly Ruess is a Computational Scientist specializing in NGS data analysis such as RNA-Seq, ChIP-Seq, and ATAC-Seq. She is currently assisting with incoming requests from the Help Desk.


 Precision Health

 Guillaume Jimenez

Guillaume Jimenez

Scientific Programmer II

Guillaume Jimenez is a software engineer with a specialization in high-throughput data management and visualization. Mr. Jimenz is developing tools for the querying and visualization of sequence data to help researchers identify tends in protocol development. He is also the lead developer for the development of a UTSW clinical annotation database.

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Erika Villa, M.S.

 Erika Villa

Computational Biologist I

Erika Villa is a computational biologist and scientific programmer. Ms. Villa specializes in next generation sequence (NGS) analysis in genomics, metagenomics and transcriptomics. She is currently the lead bioinformatics analysis for the data processing of clinical samples to identify genetic variation including SNVs, InDels, translocation and gene fusions in patient samples.

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Artificial Intelligence

Jeon Lee, Ph.D.

Jeon Lee

Computational Biologist II

Dr. Lee is an expert bioinformatics data analyst for various genomic experiments such as RNA-seq, pooled CRISPR screening, eCLIP-seq and MeRIP-seq data. His computational skills and research experiences also cover: 1) machine learning algorithm development for biomarker discovery of anti-cancer drugs and brain-tumor segmentation in MRI; 2) automated text-mining for EMR (Electronic Medical Record); 3) cell image analysis over drug treatment; 4) heterogeneous data fusion, e.g., RNA expression (genetic) and cell image feature (phenotypic) changes induced by perturbagens; 5) physiological signal processing and clinical event detection and/or feature extraction from the signals.

 LinkedIn Profile