Polly Fordyce @fordycelab
[email protected]. Stanford BioE, Genetics & Sarafan ChEM-H. Chan-Zuckerberg Biohub Investigator. fordycelab.com Stanford University Joined April 2018-
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(1/5) Microfluidics & AI -- New publications alert!! It's becoming evident that AI can eliminate trial & error from designing functional microfluidic systems! The last piece of my postdoctoral work @fordycelab is now published in Nature Communications: nature.com/articles/s4146…
Very happy to see this published! A very cool collaboration with @NilssonLabCph and @KettenbachLab developing a new assay that uses our #MRBLEs spectrally encoded beads to profile specificity of human phosphatases :) @Stanford_Chem
Very happy to see this published! A very cool collaboration with @NilssonLabCph and @KettenbachLab developing a new assay that uses our #MRBLEs spectrally encoded beads to profile specificity of human phosphatases :) @Stanford_Chem
Please join us tomorrow, Friday, 11/17, for a lineup of exciting talks! I am honored to be part of this cohort and excited to share some of our work 😀. Webinar format - happy to answer scientific questions offline. Registration link: czbiohub.zoom.us/webinar/regist…
Please join us for the Next Generation Faculty Symposium THIS FRIDAY 11/17 from 10 am to 2 pm - check out this year's program and register for free! berkeleystanfordnextgensymposium.com/2023-program Please RT widely :) @Stanford_ChEMH @czbiohub @StanfordBioX
Honored to be presenting at the 2023 Next Generation Faculty Symposium next Fri Nov 17!! Register below to support all the amazing speakers featured this year from the comfort of your screen 💻🫀 berkeleystanfordnextgensymposium.com
Honored to be part of this amazing group of scientists, and excited to share my research with the Stanford, UCSF, and UC Berkeley communities. Congrats to all the other speakers!! :)
Honored to be part of this amazing group of scientists, and excited to share my research with the Stanford, UCSF, and UC Berkeley communities. Congrats to all the other speakers!! :)
Excited to be speaking at the 2023 Next Generation Faculty Symposium on Nov. 17. I am looking forward to seeing cool science from rising stars, including @EvaCGonzalez1! You can register for this virtual event at the link below. Thank you @Stanford, @UCSF @UCBerkeley, @czbiohub,…
Excited to be speaking at the 2023 Next Generation Faculty Symposium on Nov. 17. I am looking forward to seeing cool science from rising stars, including @EvaCGonzalez1! You can register for this virtual event at the link below. Thank you @Stanford, @UCSF @UCBerkeley, @czbiohub,…
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AI can predict binders, and the latest generation is antibody-like. That's cool. Their affinity will increase. Success rate (currently ~ 1%) will increase. Yet, the key metric to consider is specificity. Without specificity, binders may cause more harm than good.
That's my son Tommy's data! Very proud!
Exciting to be back @CSHL for the #cshlsysbio general expression meeting! Love seeing our data generated by @mtcicero26 and @stergachislab on the poster and abstract book!
To all budding compbio & ML folks interested in bio: Don't just only run behind the latest ML model hype train. The greatest long run impact will come by really assimilating prior bio/compbio literature with the goal of really understanding strategies for how to model biology. 1/
Thrilled to announce that I've accepted an offer to join the @ucdavis @ucdavisHealth @ucd_physiology Physiology & Membrane Biology and OB/GYN departments! I'm super excited to launch my own lab with such an incredible set of new colleagues! More details to come!
@ItaiYanai @doudna_lab @Eric_Betzig We had so much fun hosting you!! Thanks for an awesome workshop and seminar!
@anshulkundaje @fordycelab Thanks, Anshul! We couldn’t have done it without you and Amr!
Super cool work from @philipcball on @QuantaMagazine talking about @fordycelab et al.'s work showing short tandem repeat regions in eukaryotes act like "shallow wells for trapping diverse regulatory molecules". Great article talking about great work. quantamagazine.org/a-lobby-where-…
Congratulations to @CarolynBertozzi, @BiophysicalSoc Lecturer, our highest award. #bps2025 #WomenInStem
Statement regarding my sacking from Max Planck Society hageba2a.blogspot.com/2024/02/statem…
Don’t let others determine your trajectory. I still remember being told early on I would not be able to get through engineering. Glad this wasn’t the case!
Major congratulations to @TejalADesai on a well-deserved election to the National Academia of Engineering!!! nae.edu/312025/NAENewC….
The commentary I wrote is now live at Nature Biotech: nature.com/articles/s4158… (free version rdcu.be/dwSSy).
@Droplet_guy @fordycelab Excellent initiative. Too much resource is wasted on trial and error
(1/5) Microfluidics & AI -- New publications alert!! It's becoming evident that AI can eliminate trial & error from designing functional microfluidic systems! The last piece of my postdoctoral work @fordycelab is now published in Nature Communications: nature.com/articles/s4146…
Hot take: what's even the point of 350k H100s if you've already fired the protein team?
Can finally talk some GPU numbers publicly 🙃 By the end of the year, Meta will have 600k H100-equivalent GPUs. Feel free to guess what's already deployed and being used 😉!
Yes. And change the modular NIH grant budget to $350,000 to match rising salaries.
An NIH advisory group announced today that they're recommending the agency boost its minimum #postdoc salary to $70,000, up from the current $56,484. Many postdocs feel "underpaid and overworked," a co-chair said. My latest for @ScienceInsider: science.org/content/articl…
Here's the thing about AI in biology: it absolutely has revolutionary potential, but any model is only as good as the data it's trained on. And there's a lot we don't know or are simply wrong about in bio. Want to truly build AI for bio? Invest in basic discovery science.
@IgorUlitsky @anshulkundaje @vagar112 I think that more plausibly an audience member has a very similar project, and perhaps hurries up a bit after hearing a talk. But I tend to think this hypothetical cost is almost always outweighed by the opportunity to communicate results (which, after all, should be our goal)