Julie Messersmith, Executive Director for Research at Johns Hopkins, discusses her roles in the strategies involved in bringing multi-disciplinary researchers together to work on COVID-19 and SARS-CoV-2. She shares information about the program for coordinated response with 9 working groups that were formed shortly after Hopkins shut down non essential work and research. She also discusses testing at Hopkins, genomics work on both the virus and hosts, and possible treatments in de...

In a special episode, I speak to Elodie Ghedin about the pandemic and global health crisis we are facing. Elodie is a virologist and professor at NYU in Biology and Global Public Health. She studies microbial pathogens including human parasites and viruses and has done extensive work with influenza and other RNA viruses. In this episode we talk about the coronavirus that causes covid-19, from its emergence at the end of 2019 to the current crisis, and hopes for future treatments and vaccines....

Deanna Church talks about her early work on cri-du-chat syndrome, mouse developmental biology (plus the allergy she developed!), her time at NCBI working on the mouse reference genome and improving and standardizing the human reference genome, GRCh38. We also get to hear about her work at companies such as Personalis, 10X Genomics, and now at Inscripta, where she works with tools to accelerate genome editing using CRISPR . Deanna also discusses finding a good mentor and a good project and how...

Maria talks about starting her own company right out of grad school, working for DNAnexus and Google, solving visualization problems, deep learning in genomics, and so much more. You can find links to Maria’s tools and bioinformatics training videos here: http://omgenomics.com

Adam is well known for many bioinformatics tools including MUMmer, Canu, Mash, Krona, and we talk about the development of them, TIGR history lessons, long reads, and so much more. You can find out more about Adam here: https://irp.nih.gov/pi/adam-phillippy

In this episode I talk to Alexis Battle about her experiences from Stanford as an undergrad, as an engineer at Google, her PhD experience, and the work she has done at Johns Hopkins using machine learning to understand rare variants and the human genome. A link to the Battle Lab: https://www.bme.jhu.edu/faculty_staff/alexis-battle-phd/