aavilaherrera github.io

Aram Avila-Herrera

I am a computational biologist. I received my doctoral training in the laboratory of Dr. Katherine Pollard. At the University of California San Francisco. And The J. David Gladstone Institutes. Previously, I was a banana slug. Currently, I am interested in developing solutions to improve healthcare outcomes. Aram dot avilaherrera at gladstone dot ucsf dot edu.

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Pollard Lab Gladstone Institutes, UC San Francisco

We are a bioinformatics research lab focused on developing novel methods and using them to study genome evolution, organization, and regulation. Our mission is to decode biomedical knowledge that is missed without rigorous statistical approaches. Katie Pollard and other Women Who Lead in Life Sciences. Speak out on challenges for female scientists. Gladstone launched a new Institute of Data Science and Biotechnology. With Katie Pollard as Director. Check out the press release.

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SITE TITLE

Aram Avila-Herrera

DESCRIPTION

I am a computational biologist. I received my doctoral training in the laboratory of Dr. Katherine Pollard. At the University of California San Francisco. And The J. David Gladstone Institutes. Previously, I was a banana slug. Currently, I am interested in developing solutions to improve healthcare outcomes. Aram dot avilaherrera at gladstone dot ucsf dot edu.

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The site had the following in the web page, "I received my doctoral training in the laboratory of Dr." I observed that the web site stated " At the University of California San Francisco." They also stated " Previously, I was a banana slug. Currently, I am interested in developing solutions to improve healthcare outcomes. Aram dot avilaherrera at gladstone dot ucsf dot edu."

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Nandita Garud Postdoctoral scholar, UCSF

I am a population geneticist interested in understanding adaptation in natural populations. As a postdoctoral scholar at the Gladstone Institute at UCSF. I am studying adaptation of the human gut microbiome. I completed my PhD in Dr. At Stanford University, where I developed a new statistical method to detect hard and soft selective sweeps from.