Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 2 chart positions in 2 markets.
By chart position
- 🇺🇸US · Life Sciences#1535K to 30K
- 🇸🇪SE · Life Sciences#1661K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
4.2K to 28K🎙 Biweekly cadence·6 episodes·Long inactive - Monthly Reach
Unique listeners across all episodes (30 days)
6K to 40K🇺🇸75%🇸🇪25% - Active Followers
Loyal subscribers who consistently listen
1.8K to 12K
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Platform Distribution
Reach across major podcast platforms, updated hourly
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
Julie Messersmith on coordinating the research and response to COVID-19 at Johns Hopkins University
Apr 14, 2020
52m 31s
Dr. Elodie Ghedin on the covid-19 (coronavirus) pandemic
Mar 17, 2020
42m 09s
Dr. Deanna Church on building informative reference genomes and accelerating genome editing
Mar 10, 2020
44m 44s
Dr. Maria Nattestad on visualizing the complexities of genomes
Mar 3, 2020
46m 28s
Dr. Adam Phillippy on complete human chromosomes and beyond
Feb 22, 2020
54m 34s
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| Date | Episode | Description | Length | |
|---|---|---|---|---|
| 4/14/20 |  Julie Messersmith on coordinating the research and response to COVID-19 at Johns Hopkins University | 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... | 52m 31s | |
| 3/17/20 |  Dr. Elodie Ghedin on the covid-19 (coronavirus) pandemic | 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.... | 42m 09s | |
| 3/10/20 |  Dr. Deanna Church on building informative reference genomes and accelerating genome editing | 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... | 44m 44s | |
| 3/3/20 |  Dr. Maria Nattestad on visualizing the complexities of genomes | 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 | 46m 28s | |
| 2/22/20 |  Dr. Adam Phillippy on complete human chromosomes and beyond | 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 | 54m 34s | |
| 2/22/20 |  Dr. Alexis Battle on machine learning in human genomics | 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/ | 44m 31s |
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Chart Positions
2 placements across 2 markets.
Chart Positions
2 placements across 2 markets.