priya brahma

Chromatin Enthusiast | Postdoctoral fellow @NICHD_NIH | She/Her | Views/Posts are my own

[priya brahma @thecrypticmind]

Extremely thrilled to share that my first, first author paper from my PhD is now online in mBio journal.
Here, we have explored the role of a variant histone H3
in biofilm formation in an opportunistic fungal pathogen, Candida albicans.
A thread...
https://t.co/aDVKCYhnxZ

[Kaustuv Sanyal @KaustuvSanyal]

Congratulations Priya Brahma @thecrypticmind on her pioneering work @jncasr that reveals biased eviction of variant histone H3 nucleosomes triggers biofilm growth in Candida albicans published in @mbiojournal as Editor's pick https://t.co/mkPBaL1tHF

[priya brahma @thecrypticmind]

So thrilled for you guys! Congratulations and good luck! Onwards and upwards.

[Abhishek Anand @levelheaded_94]

After 8 months of building in stealth and testing our infrastructure on 10000+ hours of real-world data and hundreds of unique environments, we're bringing @fpv_labs into the open today.

FPV Labs started with the following bet - if human data proves to be the underlying factor that determines scaling laws in general-purpose robotics, it will trigger the largest economic transformation in human history, and the underlying infrastructure that captures that data will determine how fast we get there.

We will achieve this by building the full-stack infrastructure for capturing, processing, transferring, and evaluating human experience into spatial, temporal, and semantic knowledge for machines.

Despite all the research novelty behind ChatGPT, its success can be attributed to one foundational fact - the scaling law of transformers. We believe the same dynamics have made their way into robotics.

Recent studies showed task completion rates jumping from 30% to 70% when human demonstration data scaled from 1,000 to 20,000 hours, a log-linear trend that mirrors exactly what we saw in language and vision. Seeing these emergent signs of scaling law curves in robotics, we believe we are entering the era of general-purpose robotics policies, which makes the next few years the most exciting time in the history of this field.

But the library of physical interactions required to train general-purpose robot policies does not exist yet. Over the last 8 months, we've seen dozens of companies emerge in this space. We were really happy to see new companies pushing this space forward, but we also saw the same pattern repeat: every egocentric data company was making some tradeoffs between quality, scale, and diversity.

We have built FPV labs on the core principle that high-quality data is orders of magnitude more valuable than sheer volume. Case in point, self-driving cars collect thousands of hours of data per day, but only a small fraction of that data is actually useful for training better models. Several studies, like RT-2, have shown that as little as 1% of data improves as much as 25% on task success. The quality and diversity of data matter a lot more than scale, so there is clearly a power law curve in the downstream impact of data.

We've spent months obsessing over data quality by building our stack, discarding it, rebuilding it, and iterating until we found a formula that doesn't compromise downstream quality at scale.
We believe the downstream impact here is far more profound than most people realize. Workers globally are paid around $60 trillion per year in aggregate, and a lion's share of that compensation goes to physical labor - tasks that require navigating real spaces, manipulating real objects, and negotiating the infinite variability of the physical world.

Human-to-robot transfer will be one of the most important infrastructures that will shape our society in the near future, and if it works, the economic impact will dwarf every technology transition that came before it in an exponential manner and lead to the creation of goods and services we can’t imagine today.

Our mission is to lay the groundwork for us to transition into this future - the future of abundance. We are deeply grateful to our earliest believers, @paraschopra and @lossfunk, who played a critical role in shaping our thinking.

[priya brahma @thecrypticmind]

@SheebaVasu @jncasr This is amazing! One of the most exciting times were the Student-buddy interactions I had. So glad I got those opportunities then! Best wishes.

[priya brahma @thecrypticmind]

@Reza_Hashim21 @PLOSBiology So happy to see this out! 🥳 Congratulations Hashim and the entire team! 🌸
Lesson learnt: Exceptional hard work always pays off! 😁

[priya brahma @thecrypticmind]

@VarshaS53228024 @Nikita_myco2312 @dundeeuni Congratulations @Nikita_myco2312 !! Well deserved 👏🏽👏🏽

[priya brahma @thecrypticmind]

Congratulations @Reza_Hashim21 😃🌸

[J Cell Science @J_Cell_Sci]

Read more about this research in our ‘First person’ interview with Md Hashim Reza @Reza_Hashim21: https://t.co/MEJc6GOZrZ

[eLife - the journal @eLife]

A new expansion microscopy approach helps dissect the way neurons to exchange signals via direct cell-cell connections. https://t.co/2fenSaGCD8

[Kaustuv Sanyal @KaustuvSanyal]

Registration is open for the Chromosome Stability 2024 to be held from 13-16 December @jncasr in Bangalore w/ @tvmiiser. Excellent opportunities to present your work and interact with top scientists in the field. https://t.co/YAPbNTBh7P

[Oded Rechavi @OdedRechavi]

Organoids are amazing

[Manu Awasthi @mnwsth]

The only way to convince the government to increase R&D budget allocations is to rebrand research as an employment generation scheme.

[priya brahma @thecrypticmind]

@laxmirai @c_denfert @davidrandes @KaustuvSanyal @PLOSBiology Congratulations to you and the team, Laxmi sir! 👏

[priya brahma @thecrypticmind]

@NCIYaminiDalal @dpmelters Congratulations to you and the team on this amazing and thorough work! 😃

[MATT GRAY @matt_gray_]

This is what great writing looks like:

[Semil Choksi @semilc]

We thought there wasn't much new to learn about the cell cycle. Turns out we were wrong! Our paper (out today @Nature) identifies a novel alternative cell cycle that regulates differentiation, not cell division. https://t.co/ayDhJtKK6U. 1/10

[Philipp Oberdoerffer @POberdoerffer]

We are looking for a postdoc to join us
@HopkinsMedicine
in beautiful (yes!) Baltimore, MD. Help us investigate the role of RNA/DNA secondary structures in DNA repair. Several CRISPR screen hits are waiting for follow-up analysis. Please RT! https://t.co/417EecEdVF

[Philipp Oberdoerffer @POberdoerffer]

We are looking for a postdoc to join us @HopkinsMedicine in beautiful (yes!) Baltimore, MD. Help us investigate the role of RNA and RNA/DNA secondary structures in DNA repair. Several CRISPR screen hits are waiting for follow-up analysis. Please RT! https://t.co/k5KIf5sRDA

[Harmit S. Malik @HarmitMalik]

That amazing paper you spent years on? That amazing breakthrough you had? Very likely you built this following the work of others (very few exceptions), just as others will build off yours. Science is a continuum. Want to leave a lasting legacy in science? Be generous & be kind.

[Science girl @sciencegirl]

During a solar eclipse, the gaps between leaves on trees act as multiple pinhole cameras,

and each gap projects its own crescent-shaped image of the eclipsed sun onto the ground.

📹gottigreen

[priya brahma @thecrypticmind]

@syncellbiolab @anubhav_dhar @sshekhr @India_Alliance @serbonline @iiscbangalore Congratulations to you and the team! 😁

[priya brahma @thecrypticmind]

Check out this amazing work by @Reza_Hashim21 @RG_RohitGoyal @SrijanaDutta! 🤌🏽

[HashimReza @Reza_Hashim21]

It was an absolute treat to work in Dey Lab (@Dey_Gautam) and with @HiralABShah at EMBL, Heidelberg. Amazing group of people to discuss science with. Shout out to the expansion team @MML @KaustuvSanyal, @SrijanaDutta, @RG_RohitGoyal
https://t.co/MlM5KqOULQ

[priya brahma @thecrypticmind]

@Reza_Hashim21 @Dey_Gautam @HiralABShah @mml @KaustuvSanyal @SrijanaDutta @RG_RohitGoyal Great work!! Congratulations # @Reza_Hashim21, et al. 🥳