Delighted to finally announce that Lotfollahi Lab starts this year at @sangerinstitute and @CC4AIM in Cambridge University. The lab will develop core AI/ml systems and also generate large scale multi-modal cellular data to advance cell engineering: sanger.ac.uk/group/lotfollah…
Mo Lotfollahi retweeted
Left Bulgaria at age of 15 to go to colleague in the US studying physics. Saw my family 4 times in the span of 20 years. Worked every Christmas and other holidays. All my grandparents died without me knowing. I haven’t met most of my cousins. My mom died without me knowing and I’ve never been to her grave. Graduated from UCSF with a Nature paper(among others) , was a WI /MIT fellow with a corresponding author Nature paper( among others) , was hired at Harvard as an assistant professor only to be called “Diversity Hire” by many. Thank you physics…
Got interested in physics in middle school in China. Tried physics Olympia in high school. Wasn’t able to make it out of my city in China while classmate got international gold medal representing China with a full ride into Harvard. Got Depressed and thought I won’t make it in China. Took English classes and aced TOFEL. Attended UIUC to study engineering so I’d a job one day, same year when @drfeifei became an assistant prof there. Got an algo trading internship by luck because I wrote a paper on wireless communication. Met MIT interns who told me they didn’t have to pay tuition. Inspired. Got into MIT and studied probability and info theory. Became prof at Stanford. Married. Amazing kids. Pretty happy. So yeah, Thank you, physics!
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So true
I feel like crap. I didn’t get any grants this year, so I had to let go of my super talented postdoc—someone with a doctorate who’s now unemployed, without benefits or retirement, and still grinding away on a paper... Postdocs are the most unappreciated and undervalued positions at the PhD level-highly qualified, yet paid less than industry techs in Boston (with a BS degree) , forced to work weekends without benefits or job security, and at risk of losing everything if a grant isn't funded. Name another PhD role that's treated with less respect and value by the system.
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Mo Lotfollahi retweeted
Our spatio-temporal map of lesion repair in the heart at single-cell resolution is now published in @NatureCVR. nature.com/articles/s44161-0… We dissected dynamics of multicellular niches that control cardiac repair. See 🧵for highlights.
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We are preparing for Halloween 🎃
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Calling on all scientists to call out hype, grift & BS when u see it. If u don't, u risk anti-science grifters leveraging overhyped & underdelivered promises & shoddy science to destroy public trust in the enterprise. Keep science & science comm grounded & truthful.
Mo Lotfollahi retweeted
Huge paper from Dan Landau! Such an exciting time for the somatic mutation field. Congrats Dan and team!
Big, beautiful trees!! SMART-PTA for whole-genome+transcriptome on thousand of single cells from the normal human esophagus 🤯 Massively scaling up the power of scWGS to build deep phylogenies and chart somatic evolution from birth throughout life. biorxiv.org/content/10.1101/…
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We had our first-ever Lotfollahi Lab retreat. Science, fun, and a lot of laughter all at once! 🎉 Big shoutout to our amazing experimental team and collaborators for bringing so much energy and inspiration 🌲🧬
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Mo Lotfollahi retweeted
it's been more than a decade since KD was proposed, and i've been using it all along .. but why does it work? too many speculations but no simple explanation. @_sungmin_cha and i decided to see if we can come up with the simplest working description of KD in this work. we ended up with a very simple explanation for any mixture distribution, starting from a mixture of gaussians. the key hypothesis was that using lower-entropic, approximate sampling from a teacher, results in a higher-precision but lower-recall student. since an autogressive LM is nothing but an infinite cascade of mixture distribution, we confirm this with SmolLM (thanks, @huggingface!) this is probably not the complete picture of KD, but i can definitely sleep better after writing down and confirming this minimal working explanation. as an extra take-away, this implies that our eval tends to be overly precision focused. we should really think of what we lose in terms of recalls, as this directly relates to what we miss out for whom when we build these large-scale, general-purpose models.
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Mo Lotfollahi retweeted
I came on an H1B “specialty occupation” visa and there’s no way I could have afforded a $100K fee. The US has just made it virtually impossible for people like me to come here
Trump just killed the H1B visa. Companies now have to pay $100K per year to bring foreign hi-skilled workers to the U.S. This will dissuade them from doing so, some jobs will be offshored. For Indian techies, the American dream just got killed.
Working on a new blog post to estimate when we can simulate cells atom-by-atom. I analyzed 500 papers published in last 35 years to look at the duration of all-atom simulations and how many atoms can be modeled.
Mo Lotfollahi retweeted
“The beauty of mathematics only shows itself to more patient followers.” - Maryam Mirzakhani
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Mo Lotfollahi retweeted
🚨 Two weeks left to apply for the EMBL-EBI–Sanger Postdoctoral (ESPOD) Programme. Ready to take the next step in your science career? Applications close on 30 Sept 2025. ebi.ac.uk/research/postdocs/… #postdoc #sciencecareers
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Had the pleasure of presenting our lab's vision and new work at the Haus der Industrie for the AITHYRA Institute opening & science symposium. 🎉 Even better, it was my birthday! What a way to celebrate with science. Thanks @mmbronstein and AITHYRA team 🙌 PS: amazing dinner & visit with @kchonyc and @MoAlQuraishi at KHM Art History Museum, Vienna 🎨
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Exciting chat with @dana_peer in Vienna, a lot of cool insights as always
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It was a pleasure to present
AITHYRA Symposium #AIforLifeScience: One Cell at a Time—AI and the Single-Cell Revolution
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Mo Lotfollahi retweeted
AITHYRA Symposium #AIforLifeScience: One Cell at a Time—AI and the Single-Cell Revolution
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Mo Lotfollahi retweeted
New review 🔥 Single-cell RNA-Seq has been revolutionary for studying eukaryotic cells and now it's time for it to do the same for microbes! We describe the technology for single-bacterium RNA-Seq & the questions now studied using it.🧵⬇️ science.org/doi/10.1126/scie… @AndrewPountain
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Mo Lotfollahi retweeted
🌎👩‍🔬 For 15+ years biology has accumulated petabytes (million gigabytes) of🧬DNA sequencing data🧬 from the far reaches of our planet.🦠🍄🌵 Logan now democratizes efficient access to the world’s most comprehensive genetics dataset. Free and open. doi.org/10.1101/2024.07.30.6…
Mo Lotfollahi retweeted
Select your cell: I'm prototyping an interactive sc RNA-seq portal where the UMAP is dynamically linked to morphing 3D artistic renders of each cell type. You can play with the initial build below.
🚨 Postdoc opportunity! Join the prestigious EMBL-EBI–Sanger Postdoctoral (ESPOD) Programme bridging @sangerinstitute & @embl 🔬 Projects: 1️⃣ AI-driven single-cell perturbation exp design m. (with @Muzz_Haniffa @saezlab) 2️⃣ Predicting cell phenotypes of new compounds using generative modeling (with Jess Ewald) 💰 £3,383/month (after tax) 📅 36 months | Start within 12 months ⏳ Apply by 30 Sept 2025 👉 apply here; ebi.ac.uk/research/postdocs/… #Postdoc #AI #SingleCell #Genomics #Career
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