Sei Chang

Computer Science PhD candidate @Columbia. Deep learning and generative modeling in functional genomics. Advised by @david_a_knowles. @NSF GRFP Fellow

[Sei Chang @sei_chang]

#ICML2024 was an amazing experience for my first major ML conference. Thank you to the #ML4LMS workshop organizers for providing us the opportunity to present our poster on mechanistic and neural ODEs for single-cell trajectory inference! @tingtang222

[Christina Agapakis @thisischristina]

I got curious about the real story of Ozempic + Gila monster spit people cite when advocating for basic research funding. The truth is more interesting, and shows us more about the stories we tell ourselves about science than it convinces people to maintain the funding status quo

[Sei Chang @sei_chang]

@nlarusstone @jboysen0 this is mainly to illustrate that AlphaFold did not solve the folding problem (should have only required one example), it doesn’t discuss the min number of structures to match performance

[James Garcia Alver @JayAlver]

-93 bytes, one of the best Wikipedia line deletions I’ve ever seen.

[John Bistline @JEBistline]

This is my favorite climate change chart. Japanese monks, aristocrats, and emperors kept meticulous records of cherry blossom festivals for 1,200 years and accidentally built the world's longest climate dataset.

[Yacine Mahdid @yacinelearning]

rejection bio of a faculty researcher at huggingface btw

[vixhaℓ @TheVixhal]

I still can’t believe this thing is taking our jobs.

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

#MLCB2025 will be Sept 10-11 at @nygenome in NYC! Paper deadline June 1st & in-person registration will open in May. Join our mailing list https://t.co/0vwbLjy68i for future announcements. More details at https://t.co/jElefrlUM3. Please RT!

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

The fantastic Machine Learning in CompBio #MLCB2024 papers are up at https://t.co/00uDGSR6i6 (thanks @lawrennd !) Reminder that all the talks are available on our yt channel https://t.co/9Eef4DoPfn. Please RT!

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

The fantastic #MLCB2024 talks, spotlights, panel & keynotes are now up on our Youtube channel at https://t.co/iKPvLnxvVs. Please RT!

[Sara Mostafavi @sara_mostafavi]

#MLCB2024 will be streamed live from YouTube this week (Thursday and Friday). Get the link from here: https://t.co/Fs1E54yFvA

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

#MLCB2024 kicks off in 22h (9am PST) with keynote from @zhou_jian on DL for transcriptional initiation! Full schedule at https://t.co/0LM2hEb1yh and public livestream at https://t.co/JdxyMbDlNk. Please RT!

[Nature Methods @naturemethods]

Generative AI, large language models, transformers, foundation models - what does it all mean and what is the potential impact on your research? Whether you're an AI novice or an AI expert, we invite you to read our Focus issue on advanced AI in biology. https://t.co/tlonSmHKJ1

[Peter Koo @pkoo562]

many variations already circulating on twitter, but i thought i would do one specific to regulatory genomics. enjoy.

[Christian Dallago @sacdallago]

https://t.co/RqGm9YJ4Nm will be next friday.

We haveso many quality submissions -- come meet the authors!

Likewise, we have a fantastic lineup, prizes, food,... Everything to set you up for the next exciting paper!

Also, sign up for the social ASAP: https://t.co/2FNQn2t655

[Columbia - Irving Institute for Cancer Dynamics @Cancer_dynamics]

Our first IICD Intensive Workshop concluded successfully! We wrapped up an incredible week filled with insightful guest lectures, engaging problem sets, and collaborative sessions. Thanks to all our speakers, organizers, and participants for an amazing week.

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

The fantastic Machine Learning in Compbio #MLCB2023 papers are up at https://t.co/dcY6w1HZHh. Thanks @lawrennd & PMLR! We have talk recordings too at https://t.co/1XqBDACOZk.

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

#MLCB2023 day 2 kicking off with @elhamazizi on probabilistic modeling of the tumor microenvironment https://t.co/SOucErnBg9

[Elham Azizi @elhamazizi]

Beautiful talk by @bidumit merging statML and biophysics: using geoadditive structural equation modeling to find genes most responsive to tension from spatial data! #MLCB2023

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

Machine Learning in Comp Bio #MLCB2023 is Thursday/Friday this week, great line up of contributed and invited talks (https://t.co/MVV9F1MQgi) which we'll be livestreaming (link to follow!), along with poster flash videos.