Katie Pollard and her team develop statistical and computational methods to compare genomes and use the differences to decode how genomes work. Their analyses of massive sets of genomic and epigenomic data include investigating human genetic variation, understanding what makes humans unique compared to other species, and characterizing the genomic diversity of the human microbiome, the group of bacteria that populate our digestive system and other body sites. This evolutionary focus, coupled with rigorous statistical methods and bioinformatics tool development, gives the lab a unique perspective on human health and disease.

Disease Areas

Congenital Heart Defects
Genetic Diseases
Infectious Diseases
Inflammatory Bowel Disease and Other Microbiome-Related Diseases
Neurodegenerative Diseases
Psychiatric Diseases

Areas of Expertise

Bioinformatics
Data Science
Developmental Biology
Epigenetics
Genome Evolution
Genomics
Machine Learning/AI
Microbiome
Statistics
Technology Development
Working in the Pollard lab

Lab Focus

Creating tools for genomic data analysis that combine statistical rigor, an evolutionary perspective, and massive integration of public data.
Using predictive computational models to gain a mechanistic understanding of human biology.
Identifying the genetic basis for human traits and diseases.
Characterizing the human microbiome through metagenomic data analysis.
Designing biomedical research technologies to optimize what we can learn from them.
Science communication and education.

Research Impact

Pollard and her team pioneered a statistical approach to identify the fastest-evolving regions of the human genome, known as Human Accelerated Regions (HARs). They showed that many of these correspond to non-coding sequences regulating gene expression, also known as enhancers. Her lab is leveraging this information to identify enhancers important for evolution or for the appearance of diseases. These studies have generated research tools for studying human disease and will eventually yield novel therapeutic targets.

Pollard has also designed metagenomic-based methods to study the human microbiome and other microbial communities at the resolution of individual genes and genetic mutations. From these studies, novel insight will arise into the relationship of the microbiome to health and disease, setting the stage for using metagenomics in precision medicine.

The Pollard lab’s open-source code for gene expression analysis, detecting evolutionary conservation and acceleration, and quantifying genetic changes in the human microbiome is used in thousands of labs and classrooms.

 

Professional Titles

Senior Investigator and Director, Gladstone Institute of Data Science and Biotechnology

L.K. Whittier Director, Gladstone Institute of Data Science and Biotechnology

Senior Investigator, Gladstone Institutes

Professor, Department of Epidemiology and Biostatistics, UC San Francisco

Director, Biomedical Informatics Graduate Program, UC San Francisco

Investigator, Chan Zuckerberg Biohub San Francisco

Bio

Katie Pollard earned her BA at Pomona College and her master’s degree and PhD in biostatistics from UC Berkeley. At Berkeley, she developed computationally intensive statistical methods for the analysis of microarray data with applications in cancer biology. She implemented these approaches in Bioconductor, an open-source software program used with high-throughput genomic data. As a comparative genomics postdoctoral fellow at UC Santa Cruz, Pollard participated in the Chimpanzee Genome Project and used this sequence to identify the fastest-evolving regions in the human genome, known as Human Accelerated Regions.

Before joining Gladstone, Pollard was an assistant professor in the Genome Center and Department of Statistics at UC Davis. Pollard is a fellow of the California Academy of Sciences and a Chan Zuckerberg Biohub Investigator. In 2018, she became the founding director of the Gladstone Institute of Biotechnology and Data Science. Pollard is a member of the National Academy of Medicine, the American Society of Human Genetics, the American Statistical Association, and the International Society for Computational Biology.

Why Gladstone?

“We are excited about bringing computational biology to Gladstone and incorporating world-class experimental biology into our research program.”

Katie Pollard, PhD

Honors and Awards

2024 Fellow, American Association for the Advancement of Science

2022 Elected Member of the National Academy of Medicine

2021 Fellow, American Institute for Medical and Biological Engineering

2020 Fellow, International Society for Computational Biology

2018 Named to <em>San Francisco Business Times’</em> list of “Women Who Lead in the Life Sciences”

2018 Named one of the UC Berkeley School of Public Health’s "75 Most Influential Alumni"

2017 Named a Chan-Zuckerberg Biohub Investigator

2013 Fellow, California Academy of Sciences

2013 Alumna of the Year, UC Berkeley School of Public Health,

2013 Best Scientific Visualizations of the Year, <em>Wired</em> Magazine

2009 Breakthrough Biomedical Research Award, UC San Francisco

2008 Sloan Research Fellowship, Alfred P. Sloan Foundation

2007 Faculty Development Award, UC Davis

2003 Evelyn Fix Memorial Prize, Chin Long Chiang Biostatistics Student of the Year, UC Berkeley

1998 Berkeley Fellowship, UC Berkeley

1996 Thomas J. Watson Fellowship, Watson Foundation

1995 Valedictorian, High Scholarship Prize, Math Prize, Anthropology Prize, Phi Beta Kappa Award, Pomona College

1993 Sophomore Math Prize, Pomona College

Publications

Contact

Katie Pollard
Email
415.734.2711



Lab Members

Cindy Barrios
Graduate Student
Annamarie Bustion
Collaborator
Shiron Drusinsky
Graduate Student
Veronika Dubinkina, PhD
Bioinformatics Fellow
Amanda Everitt
Graduate Student
Sandy Floren
Rotation Student
Katie Gjoni
Graduate Student
Miriam Goldman
Graduate Student
Laura Gunsalus
Collaborator
Alisha Holloway, PhD
Collaborator
Zhirui Hu, PhD
Bioinformatics Fellow
Xiaofan Jin, PhD
Collaborator
Ryan Keivanfar
Graduate Student
Beniamin Krupkin
Rotation Student
Shuzhen Kuang, PhD
Bioinformatics Fellow
Jodi Lee
Graduate Student
Abigail Lind, PhD
Collaborator
Calla Martyn
Collaborator
Cindy Pino
Graduate Student
Maureen Pittman
Collaborator
Pawel Przytycki, PhD
Collaborator
Ashvin Ravi
Rotation Student
Jason Shi, PhD
Collaborator
Byron Smith, PhD
Bioinformatics Fellow
Sean Whalen, PhD
Senior Staff Research Scientist
Shu Zhang
Graduate Student
York Zhang, MS
Rotation Student
Chunyu Zhao, PhD
Visiting Scientist