Muhammad Munim
@mbmunim_
PhD candidate - @mvh_lab @MIT - fascinated by all things metabolism | @UofT '20 | 🇵🇰🇨🇦 he/him
calenderheads peep february 2026. you dont see em laid out like this often anymore. something to look forward to
‼️Excited to share my first preprint in the Stegmaier lab – using metabolite depletion screens in physiological culture medium and in vitro/in vivo CRISPR screens, we identify metabolism of vitamin B2 (riboflavin) as a potent dependency in acute myeloid leukemia (AML). A 🧵…
Riboflavin drives nucleotide biosynthesis and iron-sulfur metabolism to promote acute myeloid leukemia biorxiv.org/content/10.110… #biorxiv_cancer
If I'm reading the new STATE ( Adduri et al. , arcinstitute.org/manuscripts/St… ) paper correctly, we still cannot predict the effect of genetic perturbations better than a simple mean, and many methods do worse?
AHH!! My primary thesis work is finally out! Tweetorial to come...
New online! ACAD10 and ACAD11 enable mammalian 4-hydroxy acid lipid catabolism bit.ly/4kNfh4m
im not a big gossip but i love Knowing Things. so when i ask for gossip it's never sinister. it's pure curiosity and a desire for knowledge
Recent Beamish award winner @TaoThuan @NatMetabolism @UBC describes how to avoid “nonsensical” results in metabolomics doi.org/10.1038/s42255…
A case for substituting butter with plant oils From >220,000 participants in 3 large cohorts using validated food questionnaires with 33 years of follow-up jamanetwork.com/journals/jamai…
Honoured to have been invited to this symposium! Had a great time presenting my work and interacting with other amazing students!
CSHL hosted its first Innovators Symposium! Led by postdocs, the meeting featured senior grad students the opportunity to present their work and connect with faculty and researchers to help further their scientific careers.
will forever point out that PhyloP, a traditional probabilistic model, has a fraction of the compute cost and does as well or better than many of these foundation models
New from @arcinstitute: Evo 2, the largest (by training compute) biology ML model ever, and one of the largest-ever open source ML models in any category. Evo 2 is a foundation model trained on 9T DNA base pairs that learns a lot of fundamental details about life. A few examples…
Seasonal depression “isn’t real” until you get a warm day in February and realize you’ve been dead inside for months
I can’t believe it - after years of advocacy, exclusionary zoning has ended in Cambridge. We just passed the single most comprehensive rezoning in the US—legalizing multifamily housing up to 6 stories citywide in a Paris style Here’s the details 🧵
New preprint claims that most existing DNA language models perform just as well with random weights, suggesting that pretraining does nothing (Mistral & DNABERT-2 look like exceptions). We need better DNA language models.
and I don't just mean papers - I mean reagents, code, IP - everything
I've seen enough: Francis Fukuyama has admitted defeat and declared The End of History to be over
The re-election of Donald Trump is a decisive rejection of liberalism, writes Francis Fukuyama: on.ft.com/3YJffkn
Site of breast cancer metastasis is independent of single nutrient levels biorxiv.org/content/10.110… Very important work on metabolic dependencies of metastasis from the @mvh_lab
@mvh_lab wins the @MITBiology group costume contest with the Olympians who went viral...featuring mvh dressed up as the Olympic village card board bed 😂
Excited to share the first research publication from our lab! Lipid availability influences ferroptosis sensitivity in cancer cells by regulating polyunsaturated fatty acid trafficking sciencedirect.com/science/articl…
Congrats to KI Director Matthew Vander Heiden @mvhlab on being elected to the National Academy of Medicine for 2024! @theNAMedicine election recognizes his leadership and pioneering work on cancer metabolism has paved the way for new therapies. buff.ly/3NBQIZn