
Statistician and data-loving scientist @Genentech. Formerly postdoc w/@RafaLab @DanaFarber; PhD @UNC; BA @PomonaCollege. 🇯🇵 🇺🇸
San Francisco, CA
Joined December 2015
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Patrick 浩亮 Kimes retweeted
Posting for the #MondayMorning crowd: Interested in working at intersection #SingleCell #Cancer #Statistics #DataScience #rstats #Bioconductor #PublicHealth? Come join me @jhubiostat @JohnsHopkinsSP and the amazing #Genomics community at @JohnsHopkins!
stephaniehicks.com/join/
Excited to announce new #postdoc position with me @jhubiostat @JohnsHopkinsSPH (collab with @GreeneScientist!) working at intersection of #SingleCell #Genomics #Cancer #Statistics #DataScience #rstats #Bioconductor #PublicHealth! Plz RT #AcademicTwitter
stephaniehicks.com/join/
Patrick 浩亮 Kimes retweeted
Congratulations to @rafalab and @cduvallet on receiving the 2019 Research Parasite Awards! #researchParasite researchparasite.com/
Patrick 浩亮 Kimes retweeted
Happy New Year, Twitter! So excited to announce that we are officially the Department of Data Sciences at @DanaFarber! #newname @rafalab
Patrick 浩亮 Kimes retweeted
We're offering $10,000 Fellowships to women working on open source programming projects, research, and art for our batch starting Jan 7. 50% of funding is reserved for women, trans, and non-binary people of color.
Apply now: recurse.com/blog/145-fellows…
Please help spread the word!
Patrick 浩亮 Kimes retweeted
dear data researcher, this is really a dream job: data scientist for the World Health Organization @WHO to work in Epidemic Intelligence and Innovation careers.who.int/careersectio…
Patrick 浩亮 Kimes retweeted
Want to boost power when controlling FDR by using more than just the p-value?
We benchmarked several recent FDR methods to evaluate performance, applicability, consistency, and usability in computational biology. Here's our practical guide: biorxiv.org/content/early/20…
Patrick 浩亮 Kimes retweeted
This was a HUGE team effort led by @keegankorthauer and @pkkimes! Excited to see this out 🎉 and fun fact: the idea for this project originated out of reviewing a flurry of recent, cool false discovery rate methods papers in @rafalab journal club 😊 #statistics #methodsmatter
Want to boost power when controlling FDR by using more than just the p-value?
We benchmarked several recent FDR methods to evaluate performance, applicability, consistency, and usability in computational biology. Here's our practical guide: biorxiv.org/content/early/20…
Patrick 浩亮 Kimes retweeted
We reanalyzed a groundbreaking epigenomic study and found that DNA methylation is strongly associated with transcriptional repression, in contrast to the original findings biorxiv.org/content/early/20… - with @rafalab
Patrick 浩亮 Kimes retweeted
If you are comparing computational tools, have a look at our @Bioconductor package SummarizedBenchmark: self-contained data structures to design and execute benchmark analyses while automatically tracking software versions and parameters. Paper: goo.gl/Ues92Q @pkkimes
Patrick 浩亮 Kimes retweeted
Interested in single cell genomics but need help getting started? Check out the agenda for my lab's free workshop, this Friday. Very excited that we will be livestreaming with the support of @cziscience! Pls RT and spread the word satijalab.org/scgd
Patrick 浩亮 Kimes retweeted
Effective February 1st, Rafael Irizarry will become the new Chair of the Department of Biostatistics and Computational Biology @DanaFarber 👏👏👏
Patrick 浩亮 Kimes retweeted
The meta-analysis is out in @NatureComms! We found that diseases are characterized by consistent types of microbial community shifts, and that lots of bacteria respond non-specifically to multiple diseases. @gibbological @ThomasGurry @ejalm @rafalab nature.com/articles/s41467-0…
Patrick 浩亮 Kimes retweeted
FP: Tillerson has eliminated a key office that oversees sanctions policy. atfp.co/2lkayxU
Patrick 浩亮 Kimes retweeted
Date claimers for #Genomics lesson work: 31/8 to raise issues, and 18-19/9 to fix them - details here: datacarpentry.org/blog/genom…
Patrick 浩亮 Kimes retweeted
I stand behind the results in the Salmon paper. Many in our field would rather read a vitriolic blog post than the paper itself
Patrick 浩亮 Kimes retweeted
🔥🔥🔥 new preprint introduces varying dropout-aware clustering for scRNAseq from @sandakano @stephaniehicks & @rafalab
biorxiv.org/content/early/20…























