Assistant Professor in computational biology
Davis, CA
Joined August 2019
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One potential problem is that for deeper papers or those with lots of experiments (thinking about those with a big supplement), it might be hard to make an informed decision immediately. This sounds good for clear accepts or rejects, not sure about other less clear cut papers
Gerald Quon retweeted
Register (FREE) for #MLCB2021 mlcb.github.io/
Nov 22-23, 9am-5pm PST
Keynotes: Regina Barzilay, @drklly, @seeliglab
Industry panel: Kyle Farh @illumina, Berton Earnshaw @RecursionPharma, Amit Deshwar @deepgenomics, Ayla Ergun @FulcrumTx
16 talks, 21 spotlights, posters
The schedule for #MLCB2021 is up. 3 awesome keynotes, 16 oral presentations, and an industry panel. Check it out and register (its free): sites.google.com/cs.washingt…
Gerald Quon retweeted
Deep learning has obviously transformed protein structure prediction, but can it do the same for the rest of biology? In a perspective by @sorger_peter and myself out this week in @naturemethods, we begin to try to answer this question: rdcu.be/cyMvO
Gerald Quon retweeted
Machine Learning in Computational Biology deadline extended until Wednesday 10/6, submit your 2 page abstract or 8 page paper at cmt3.research.microsoft.com/…. #MLCB2021 Please RT!
Thrilled to be awarded an @NIHDirector New Innovator Award to work on frameworks for integrating multimodal datasets! #NIHHighRisk
Find out what innovative, high-impact #biomedical or behavioral research projects early career investigators are pursuing with @NIHDirector’s New Innovator awards: go.usa.gov/xMEKn. #NIHHighRisk
ALT 2021 NIH Director's New Innovator Award. Collage of several awardees.
Gerald Quon retweeted
A friend (who does not work in science) asked me today whether it is true that "protein folding has been solved". My short answer:
The AlphaFold method produced very impressive results on CASP14. Protein folding is not a solved problem.
Interesting, though there's no mention in the nature article on how novel the structures were this year -- how well represented are the structures predicted in existing datasets nowadays?
I think there is already to some degree, I usually get a bunch of requests through applyweb.com from multiple schools for the same person?
Upgraded a 2019 Intel based macbook pro, and it made my external monitor blink continuously immediately after install. Monitor still works fine with other machines so likely a big sur problem.
Gerald Quon retweeted
Application deadline 12/1/2020: Information and Tips for IGG Prospective Students | IGG Graduate Group igg.ucdavis.edu/information-…
Gerald Quon retweeted
Assistant Professor of Teaching Position in Quantitative Biology at @ucdavis. The position will reside in the Dept. of Evolution & Ecology (eve.ucdavis.edu) and be affiliated with the planned interdisciplinary major in Quant. Bio. Please retweet! recruit.ucdavis.edu/JPF03860
We use Miro for brainstorming and planning, not as great for replacing traditional whiteboards like jamboard though
Gerald Quon retweeted
Happy to see this paper out. Interpreting what CNNs have learned on large compendium of ATAC-seq data was surprising: much of the learnt parameters point to validated biological mechanisms. Deep learning of immune cell differentiation pnas.org/content/early/2020/…
Gerald Quon retweeted
Dear Colleagues,
Good news! The deadline for Machine Learning in Computational Biology (MLCB) meeting has been extended to October 2nd (Fri), 2020.
MLCB organizers
mlcb.github.io/
@anshulkundaje @sara_mostafavi @james_y_zou @david_a_knowles @QuonBio
Gerald Quon retweeted
We have a fantastic lineup of keynotes for #MLCB2020 (Nov 23-24): Aviv Regev, @BarzilayRegina, @marinkazitnik
& @segal_eran. Submissions due Sept 30th at cmt3.research.microsoft.com/…. Register (for free!) at forms.gle/ZSwPFoLQ3iWBedsj8, more deets at mlcb.github.io/ Please RT!