Danny Park @dannyjpark.bsky.social (@DannyJPark) profile picture

I use genomics to study the evolution and spread of human pathogens and lead pathogen analytics at the Broad. @dpark@mstdn.science @dannyjpark.bsky.social

Cambridge, MA, USA
Joined May 2013
Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)Photo by Danny Park @dannyjpark.bsky.social (@DannyJPark)
Danny Park @dannyjpark.bsky.social retweeted
Just wrapped up meetings with @CDC_AMD state public health and academic partners doing awesome work in pathogen genomic sequencing and bioinformatics! So much awesome work being done and so much more for us to do! @APHL
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Danny Park @dannyjpark.bsky.social retweeted
Everyone moving from twitter to mastodon is very likely to fail because it is a collective action problem, benefits depend on others actions. Here's how it can succeed. It will require your commitment for 1 month to do a few things. Read and retweet if you commit to do them.
Even if the Mastodon migration only affects #academictwitter, it could be a great success. Social media is like the local pub. The food quality is irrelevant. As long as the people I want to talk to and hear from are there, I'm happy. I'm at: nerdculture.de/web/@briannos…
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It’s been a great start to the DS-I Africa meeting so far!
It's a good morning for DS-I Africa in Cape Town as the Do-athon kicks off in less than 2 hours! #DSIAfricaDoathon #DSIAfricaConsortiumMeeting #DataScience
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Danny Park @dannyjpark.bsky.social retweeted
#SARSCoV2 took the world for a spin. At the time, our newly born @pha4ge Data Structures working group thought we could make a difference here. Today our efforts of two years are announced to the world in @GigaScience ⤵️ academic.oup.com/gigascience…
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It took me seven episodes to realize that the song actually had lyrics, and the lyrics were his name. FETT! Boba boba boom, boba boba boba FETT!
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It's worth saying that much of the lab techniques and practices in our viral genomics lab were strongly shaped by Adrianne over the past decade. Plus I love that my kids get to see her videos every time we visit the Museum of Science.
For 8 years Adrianne Gladden-Young elevated @sabeti_lab viral genomics and inspired us all. Here is a brief history celebrating the brilliant mind & powerful voice of @agladdenyoung #BlackHistoryMonth 1/16
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Danny Park @dannyjpark.bsky.social retweeted
Hearty congratulations to the duo of Idowu Olawoye @idowuolawoye & Paul Oluniyi @pauloluniyi for their successful post-field seminar (internal defense) yesterday. #Bioinformatics #PhD
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The CDC considers your server fully patched two weeks after your second zero-day log4j hotfix.
This Post is from an account that no longer exists. Learn more
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The CDC predicts we are already majority omicron in the US based on its nowcast projection from genomic surveillance data from earlier this month. These models are great: it's essential to make decisions based on now & future, not a snapshot 2 weeks ago. covid.cdc.gov/covid-data-tra…
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At the request of @MassDPH, @NicoleLWelch & team applied this assay to >1400 recent clinical specimens from the Broad testing catchment to report this picture. The blue line is all the sequencing data we finished this weekend. The red line she just painted over the past two days.
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The blue line will soon fill the gap and probably confirm/overlap the red lines, but the value of a rapid glimpse at current trends (especially real measurements, not extrapolated) cannot be overstated. And the inflection point is brief--if you miss a week, it's already over!
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I’ve been thinking about this picture a lot the past couple weeks. (Though I would relabel the “public health” title to, say “general public”. Folks I know in public health seem to fall on the right half)
I have been thinking about how different people interpret data differently. And made this xkcd style graphic to illustrate this.
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