Principal AI Scientist at Prescient Design / Genentech. I lead a group that solves problems in drug discovery with machine and deep learning. he/him
South San Francisco, CA
Joined November 2009
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We are hiring a Machine Learning Scientist to work on LLMs for Chemistry @PrescientDesign, together with our ML for Small Molecule Drug Discovery, ML Engineering, and Prescient LLM teams! @stephenrra @keunwoochoi
roche.wd3.myworkdayjobs.com/…
Our small molecule team at @PrescientDesign within @genentech is hiring for two Machine Learning Scientists. Come work with us to impact drug discovery through computation and machine learning!
roche.wd3.myworkdayjobs.com/…
roche.wd3.myworkdayjobs.com/…
@VishnuSresht
kangway chuang retweeted
Our work "Protein Discovery with Discrete Walk-Jump Sampling" won an Outstanding Paper award @iclr_conf !!! 🥳
Once again, thanks to my @PrescientDesign and @genentech colleagues, especially @dabkiel1 and Saeed Saremi.
Announcing the #ICLR2024 Outstanding Paper Awards:
blog.iclr.cc/2024/05/06/iclr…
Shoutout to the awards committee: @eunsolc, @katjahofmann, @liu_mingyu, @nanjiang_cs, @guennemann, @optiML, @tkipf, @CevherLIONS
kangway chuang retweeted
Are you a #proteinengineer with a background in structural and #computationalbiology? Interested in making real-world impact on patients' lives by working on portfolio projects? And excited about physics-based modeling and #ML? @PrescientDesign @genentech
lnkd.in/gNxZwYVq
Thanks for the fantastic conference @AIHealthMIT! Grateful for the invitation to be part of the panel and excited to see all the fantastic research at #MoML2023. Feel free to reach out to learn more about what's going on @PrescientDesign and @genentech research!
“There’s one camp of people that says nature has done everything possible and then there’s the other camp that says nature has only scratched the surface.” — @sokrypton #MoML2023
Come join our team @PrescientDesign! We have exciting research directions at the interface of machine learning, chemistry, and drug discovery in the amazing research environment within @genentech Computational Sciences!
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Check out this incredible paper led by Nate Diamant and @gabo_scalia! Nate makes the key observation that many real-world graphs incl. molecules have low graph bandwidth and leverages it to improve autoregressive and one-shot graph generation! arxiv.org/abs/2301.10857 @icmlconf
kangway chuang retweeted
Ever analyze a scRNAseq dataset and wonder if a specific cell state has been seen before? And if so, where in the human body? Under what conditions? Well, now you can use our lightning fast SCimilarity search and foundational model for that! ⚡️🔎🧬 biorxiv.org/content/10.1101/… (1/11)
We have an awesome postdoc opportunity in my lab @PrescientDesign as part of @genentech Research and Early Development, co-advised by James @crwfrd_SF in Discovery Chemistry. Come work with us on the next generation of ML approaches for chemical discovery! roche.wd3.myworkdayjobs.com/…
kangway chuang retweeted
What do you do when there's no assay for your protein's activity? Dyes might help! Excited to share protein-adaptive DSF (paDSF), a versatile new dye-based method to create stability assays on-demand.
biorxiv.org/content/10.1101/…
Super exciting to see this lab start up in 2023! Definitely consider joining the Lyu lab if you're interested in computational drug discovery for a PhD or Postdoc!
Excited to announce that I will be joining the faculty @RockefellerUniv as an assistant professor in Jan 2023! My lab of computational molecular discovery will develop computational methods to bridge interesting chemistry to novel therapeutics. (1/3)
Go work with @bignerdzzy at @UCBerkeley if you want to do awesome science like this!!!!
A new paper from @kevansf and @bignerdzzy identified a strained β-lactone electrophile that covalently targets a KRAS G12 somatic 2 mutation and acylates the mutant serine to suppress oncogenic signaling.
kangway chuang retweeted
I'll be joining EPFL @EPFL_en as an assistant professor this fall! I'm immensely grateful to my mentors, collaborators, colleagues and everyone who supported me. Thank you all!
Excited to continue my research at the intersection of ML and biomedicine!
Thrilled to see brilliant minds joining #EPFL! Such an honour to welcome Maria Brbic (@Stanford), Daryl Yee (@MIT), Martin Hairer (@imperialcollege, #FieldsMedal 2014) and Xue-Mei Li (@imperialcollege) to our faculty
ethrat.ch/en/16-new-professo… via @ETH_Rat @Conseil_EPF 1/2
kangway chuang retweeted
Tomorrow with @RPNowak we will host DFCI-TPD Short Seminars:
@Hypat1aYu from Stanford - Fragment-based Ligand Generation
@lena_nitsch from @DKFZ BTB-BCL6 oligomerization switch
@n_szulc from @IIMCB_Poland - Degronopedia
@TychoMevissen from @harvardmed - Trim-Away
As a grad student and postdoc, I struggled with finding a career path that reflected my values and "just felt right" to me. I looked hard for the unique combination of curiosity-driven research and making a real and positive impact that seemed so hard to find.
If you're excited about how Artificial Intelligence and Machine Learning can impact real-world drug discovery please consider joining my team at gRED. Our unique environment that blends academic-style research with applied challenges in chemistry, biology, and drug discovery.
We have a few full-time positions for AI Scientists to create the next generation of machine learning tools and invent new drugs:
careers.gene.com/us/en/job/G…
careers.gene.com/us/en/job/G…
We have an awesome postdoc opportunity in my lab at @genentech Research and Early Development, co-advised by @tbyanc. Come work with me on the next generation of machine learning approaches for chemistry, biology, and drug discovery!
careers.gene.com/us/en/job/G…
I'm super excited to teach and mentor the next generation of machine learning + physical scientists and care deeply about cultivating a diverse culture of learning and research; postdocs at gRED explore new directions of research and are encouraged to publish freely.