Our lab is excited to welcome the lab of Barbara Engelhardt to Gladstone!
In response to wildfires, lab members led by Alex Pico donated 500 KN95 and 400 N95 masks to http://helpsierrabreathe.org/ for distribution to unhoused and evacuated people in the Carson City and Reno areas.
Katie was quoted in a New York Times article about re-wilding the human microbiome.
We published two papers in Nature this week! Pawel Przytycki was the computational lead on a study about epigenetic regulation of heart fibrosis. Svetlana Lyalina led statistical analyses for an investigation of effects of caloric restriction on the human microbiome.
Read about our advocacy for open access in this story about publishing during the pandemic.
Katie is quoted about large-scale isolate sequencing from diverse human microbiomes in The Scientist.
CZI interview with Katie about 3D genome folding and more.
Katie Pollard is elected to the College of Fellows of the American Institute for Medical and Biological Engineering (AIMBE). Read the story.
Congratulations to Alex Pico on receiving the Distinguished Achievement in Scientific Leadership award from Gladstone!
Kudos to graduate student Maureen Pittman on receiving the NIH F31 fellowship for her work on genetic determinants of congenital heart defects!
Lab alumnus Hassan Samee was recognized for his excellent teaching by the Baylor College of Medicine Graduate School. Congratulations to Hassan on receiving the Outstanding Lecturer award!
We celebrated Ada Lovelace Day. Katie shared her experiences as a woman in data science in this interview.
Congratulations to Luis Diaz for being a peer mentor in the SF Build / Metro College Success program!
Reuben Thomas is leading an effort to predict clinical outcomes in HIV and COVID-19 with machine learning applied to blood biomarkers and genomics. Read the story.
Our enhancer atlas of the developing human brain was published in Cell. Read the story.
The lab participated in ShutDownSTEM and other anti-racism protests.
Katie gave a Gladstone Newton Series Webinar about exploring human microbes through big data.