Muhammad Munim

PhD candidate - @mvh_lab @MIT - fascinated by all things metabolism
@UofT '20
🇨🇦🇵🇰 he/him

[Eddie Rashan @EdreesRashan]

Big congrats to grad student @AnnaMBarbeau of @mvh_lab on their review of the current understanding and considerations of how diet influences cancer progression/therapy. So important and timely! Check out here: https://t.co/SEr9ibKirn

[Muhammad Munim @mbmunim_]

@EdreesRashan Congrats!!

[Muhammad Munim @mbmunim_]

@LucasBSullivan @NatMetabolism Exciting to see it out! Congrats!

[Lucas Sullivan @LucasBSullivan]

Pleased to share our recent work out today in @NatMetabolism. This study addresses a longstanding mystery - NRF2-driven cancers increase cysteine acquisition (via xCT) by ~5x - so where does all that cysteine go?

[tippity @tippity]

spiritually Toronto item

[Natasha Jaques @natashajaques]

The paper I’ve been most obsessed with lately is finally out: https://t.co/KgdWKknCJK! Check out this beautiful plot: it shows how much LLMs distort human writing when making edits, compared to how humans would revise the same content.

We take a dataset of human-written essays from 2021, before the release of ChatGPT. We compare how people revise draft v1 -> v2 given expert feedback, with how an LLM revises the same v1 given the same feedback. This enables a counterfactual comparison: how much does the LLM alter the essay compared to what the human was originally intending to write? We find LLMs consistently induce massive distortions, even changing the actual meaning and conclusions argued for.

[Priyanka Lakhara @codewithpri]

IT’S WILD THAT THE MOST EFFECTIVE WAY TO SAVE SOMETHING AS A PDF IS TO LIE TO YOUR COMPUTER THAT YOU’RE ABOUT TO PRINT IT 😭😭😭

[Laura Luebbert, PhD @NeuroLuebbert]

What can 16,000 papers tell us about scientific narratives and journal peer review? We extracted core scientific content from @eLife’s entire machine-readable, CC-BY corpus and compared human peer review to AI.

https://t.co/VyxhNMzn6f

w/ @sinabooeshaghi @lpachter

[Josie Zayner @josiezayner]

People raising $50M for AI protein design and homie beats them with Microsoft word? Lol

I love it

[Kyle 🚄 @KyleTrainEmoji]

Millennials grew up believing that 6 was afraid of 7. Zoomers have seen through the propaganda and know that 6 and 7 are actually the best of friends

[Anirban Maitra @Aiims1742]

Really interesting @Nature paper from @mvh_lab creating metabolite auxotrophs and dissecting the resulting metastatic organotropism:
Nutrient requirements of organ-specific metastasis in breast cancer
https://t.co/rW5n59sH3O
Accompanying @NatureNV
https://t.co/dsHoqGbiiy

[Malika 🧬 @malikules]

ppl be like "i made it out of the hood", whole time this is the hood

[Muhammad Munim @mbmunim_]

@FangtaoChi @ohyilmaz @JudithAgudo1 @DamonRunyon Congrats!!

[Fangtao Chi @FangtaoChi]

Thrilled to share our paper out today. I am immensely grateful to my mentor, Dr. Ömer H. Yilmaz @ohyilmaz , and our fantastic collaborators @JudithAgudo1 & labmates and @DamonRunyon for five years of support. https://t.co/tSFdS65lOg

[Keoni Gandall @koeng101]

the bureaucrats buying bunsen burners fear the Lab Candle Enjoyer

[MVH Lab @mvh_lab]

Great lab bonding at our 2025 lab retreat. A good mix of scientific discussion and lab fun. I'm so grateful for such an inspiring and energetic lab!

[anirudh @kamathematic]

being the first to jaywalk is so aura inducing the other pedestrians all look at each other like damn he’s really him

[Muhammad Munim @mbmunim_]

@EdreesRashan @mvh_lab Excellent Ed Rolls!!!

[Muhammad Munim @mbmunim_]

@tony_zhang_phd @DamonRunyon @Transactivator Congrats Tony!!

[Yichi (Tony) Zhang @tony_zhang_phd]

Happy to announce that I was awarded a pathway to independence award (K99) from the NCI/NIH today to work on studying whole-body metabolism driving cancer cachexia. None of this would be possible without support from @DamonRunyon and mentorship from @Transactivator and mvhlab.