MARCH 2024

The Biswas Family Foundation awarded us $5M for a new Center for Transformational Cancer Computational Biology that will use machine learning to accelerated discovery of genetic mechanisms and optimization of personalized immune therapies for solid tumors. Read the story.

DECEMBER 2023

We received a $1.3M grant from the Keck Foundation to establish the Keck Center for Machine-Guided Functional Genomics!

April 2023

Shiron Drusinsky received an NSF predoctoral fellowship!

APRIL 2023

The 4D Nucleome Project posted profiles of Katie and other female investigators as a program highlight.

MARCH 2023

Katie was featured in a UCSF short documentary for International Women’s Day.

JANUARY 2023

Sean Whalen’s recent papers dissected the function and evolution of Human Accelerated Regions with machine learning and massively parallel reporter assays. Read the about the Neuron study here and our Annual Review here. His approach was covered in a story from the Simons Foundation.

FEBRUARY 2022

Grad student Maureen Pittman published her work on using AP-MS protein networks to identify new congenital heart disorder genes. This was a great collaboration. Read the story.

DECEMBER 2021

Our Biohub team, led by postdoc Jason Shi, published a method for fast, accurate genotyping of microbiomes. Read the press release about this paper and our single-cell genomics approach for tracking how microbiome strains evolve within a person’s gut.

NOVEMBER 2021

The Pollard Lab welcomes Vijay Ramani and his lab to Gladstone!

SEPTEMBER 2021

Our lab is excited that the lab of Barbara Engelhardt is joining us at Gladstone!

SEPTEMBER 2021

In response to wildfires, lab members led by Alex Pico donated 500 KN95 and 400 N95 masks to HelpSierraBreathe.org for distribution to unhoused and evacuated people in the Carson City and Reno areas. Read the story.

JULY 2021

Katie was quoted in a New York Times article about re-wilding the human microbiome.

MAY 2021

Read about our advocacy for open access in this story about publishing during the pandemic.