prof of biological eng at MIT, co-director center for microbiome informatics and therapeutics, co-founder finch therapeutics and biobot analytics
Joined January 2008
- Tweets 1,234
- Following 866
- Followers 3,265
- Likes 1,384
42 Photos and videos
Eric Alm retweeted
2 Jun 2022
Our paper on single-cell genomic sequencing of the human gut microbiome is now published in Science! Congrats to all of the amazing authors that I am proud to work with: @zheng_wenshan @ejalm @peterjameslu
@_e_evans @cdaili @animalkewls and David Weitz
science.org/doi/10.1126/scie…
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Eric Alm retweeted
31 Mar 2021
Excited to share our article presenting the @globalmicrobiom initiative and releasing our first batch of data and results! This work highlights how microbiomes acquire new functionality based on host lifestyle. @CellCellPress.
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sciencedirect.com/science/ar…
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Eric Alm retweeted
22 Feb 2021
For nearly a year, Biobot has been providing early warning of #COVID19 outbreaks by looking at sewage samples from communities across the country. newyorker.com/magazine/2021/…
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if i had the chance to do another postdoc in comp bio, this is the position i would apply for
6 Jan 2021
The Smillie Lab opens March at @MGHMedicine! We develop methods (wet/dry) to understand microbial life on the human body #microbiome #singlecell #evolution #deeplearning. Hiring grad students, postdocs, and RAs @harvardmed @broadinstitute. Please share! smillielab.org
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delighted to share this work by @Shijie_Zhao and @zheng_wenshan single-cell droplet based genomics for the human microbiome. strain-resolved genomes and HGT networks are among the benefits of this amazing new technology from David Weitz’s lab
15 Dec 2020
Microbe-seq: high-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome biorxiv.org/cgi/content/shor… #bioRxiv
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Eric Alm retweeted
9 Dec 2020
It's amazing to see our member @BiobotAnalytics named as @smartcitiesdive's Technology of the Year! Congratulations to @MarianaMatusG, @NewshaGhaeli, team! bit.ly/37QUxEv
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Eric Alm retweeted
10 Dec 2020
We're highlighting 'most liked' Tweets from 2020. ICYMI: We love @gibbological's passion for the #microbiome and its influence on human health @isbsci: ow.ly/tU8N50CyMy0. Hear the full interview here: bit.ly/3oJykiv
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Eric Alm retweeted
5 Dec 2020
The mystery of Dark Statistics has vexed statisticians for decades. It is hypothesized that as much as 95% of all statistics are dark statistics! These elusive statistics are invisible but we know they MUST exist due to their influence on the visible data.
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Eric Alm retweeted
18 Nov 2020
did you know that the reason tattoos remain visible for so long is bc of MACROPHAGES?
I thought it was bc the ink stained long-living fibroblasts, but no! dermal macrophages phagocytose the ink and store it in vacuoles, where it is still visible from the surface.
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Eric Alm retweeted
20 Oct 2020
A great interview with @BiobotAnalytics
16 Oct 2020
In February, Biobot's @MarianaMatusG & @NewshaGhaeli turned their focus from the opioid epidemic to the #COVID19 pandemic. Watch highlights from @mlevram's interview with the co-founders at @FortuneMPW: fortune.com/2020/10/14/covid…
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Eric Alm retweeted
15 Oct 2020
"Everyone has a voice in the sewer."
Hear more from Biobot co-founders @MarianaMatusG & @NewshaGhaeli in their interview with @mlevram at @FortuneMPW's Next Gen Summit: fortune.com/2020/10/14/covid…
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Eric Alm retweeted
7 Oct 2020
Yay! Congrats to #UCLA's on the SwabSeq EUA. Lots of hard work by a big team including @jonathan_flint1 @leonidkruglyak @ArboledaVal @JoshSBloom @ZarEskinCompMed @chongyuanluo @yeastyin et al. fda.gov/media/142802/downloa…
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Eric Alm retweeted
6 Oct 2020
How does #COVID19 wastewater epidemiology work? Check out this video from Biobot’s research collaborators @MIT for a great explanation. #BetterDataSmarterDecisions youtube.com/watch?v=ysZsx5wS…
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Eric Alm retweeted
6 Oct 2020
Honored to have been selected as an NIH New Innovator, alongside an amazing group of scientists: commonfund.nih.gov/newinnova…. Did I mention we are looking to grow our team? lieberman.science
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so excited to chat with @gibbological about sewage as a tool to improve public health!
in the next 5-10 years, every major city will be using wastewater based epidemiology to improve lives. from covid19 to opioid addiction, the opportunities are endless in this emerging field!
Today's the day. @MIT's @ejalm discusses population-scale #COVID19 tracking using data collected in sewage. (Great video below.) Tickets are only $5 -- register now (townhallseattle.org/event/dr…) & we'll see you at 6pm PT! @THSEA @gibbological youtube.com/watch?v=ysZsx5wS…
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Eric Alm retweeted
2 Oct 2020
In the coming days, it is likely that many people who interacted with Trump or his team this week will report having COVID. Anyone in this cluster should save specimens for sequencing-based epidemiology-- to better quantify the consequences of this administration's recklessness.
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Eric Alm retweeted
29 Sep 2020
main source of joy is this guy who frantically guesses what color the paint is going to be
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Eric Alm retweeted
30 Sep 2020
"Since it can identify both symptomatic and asymptomatic cases, the testing can predict if there will be a spike or decrease in the next 4-10 days." @AngelaKimWRCB reports on Biobot's work in Chattanooga, Tennessee: wrcbtv.com/story/42698754/ci…
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Eric Alm retweeted
28 Sep 2020
Very happy to share with you this new study from our lab on bacterial translocation from the gut to neighboring adipose, and a fascinating tissue response to the presence of microbial “squatters”. @CellCellPress
Happy to walk you through, in this thread:
cell.com/cell/fulltext/S0092…
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Eric Alm retweeted
12 Sep 2020
On March 12, Biobot put out the call to action to use sewage to map #COVID19 outbreaks and provide real-time data for governments & communities to get ahead of the crisis. 6 months later, we've analyzed ~3,000 samples from over 400 locations in the US. #BetterDataSmarterDecisions
13 Mar 2020
Our team put down their thoughts on how our technology can help respond to the #COVID19 outbreak.
Read more: link.medium.com/CTNhuKRfO4
#coronavirus #COVIDー19 #PublicHealth #DataScience
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