Sarah Nyquist

19 posts

Sarah Nyquist

@snyquist2

Postdoc at Gladstone Institute with @BeEngelhardt, previously @MITCSBPhD student in @shaleklab + @lab_berger, she/her

Katılım Şubat 2012

389 Takip Edilen173 Takipçiler

Sarah Nyquist retweetledi

Britt Goods, Assistant Professor Dartmouth College@GoodsBrittany·29 Kas

Do you want to work as part of a large collaborative team to drive innovation in #computational drug discovery? My lab is looking for a talented #Postdoc to lead efforts to do this! Please apply here (apply.interfolio.com/136977)! Compensation is well above the national average.

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Sarah Nyquist@snyquist2·8 Ağu

Thank you so much for hosting me! What a great day of milk discussions and San Diego sunshine!

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Britt Goods, Assistant Professor Dartmouth College@GoodsBrittany·20 Nis

Do you wish you could continually monitor your uterine health? I am helping to scope a women's health monitoring research project! Input from possible users would be incredibly valuable to us. Please fill out this anonymous survey, thank you! forms.gle/riHkpvZpEexr6X…

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Kelsey Johnson@kelsey_EJ·25 Oca

I am excited to share the preprint of my first postdoc paper (with @blekhman @frankwalbert @DemerathE), “Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome” !!! biorxiv.org/content/10.110… This project began…

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Sam Sledzieski@samsledzieski·14 Ara

Can you accurately scan ~10 million drug-target pairs per minute? We think you can! In our new preprint (with @rohitsingh8080 , Lenore Cowen, and @lab_berger ), we develop ConPLex, a high-throughput method for predicting drug-target interaction (DTI). biorxiv.org/content/10.110… 🧵

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David Juergens@DaveJuergens·10 Ara

We’re very happy to announce that our RFdiffusion manuscript is now on bioRxiv! A lot can change in a week - we’ve now tested over a thousand designs and there’s so much exciting new data! 🧵

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Max Sherman@m_a_sherman·20 Haz

So excited to share our paper "Genome-wide mapping of somatic mutation rates uncovers drivers of cancer" is out on @NatureBiotech (and open access)! nature.com/articles/s4158…. Here's a🧵on what we did and what we found!

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Brian L Trippe@brianltrippe·10 Haz

Can ML build diverse protein scaffolds around functional motifs? We find equivariant diffusion models and Sequential Monte Carlo may help! Joint work with Jason Yim, and coauthors Doug Tischer, @ta_broderick, David Baker, @BarzilayRegina and Tommi Jaakkola arxiv.org/abs/2206.04119

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Brian Hie@BrianHie·7 Haz

Ellen is amazing — definitely consider joining her group if you can!

Ellen Zhong@ZhongingAlong

I am thrilled to share that I will be starting as an Asst Professor of Computer Science at @Princeton this summer! Really excited for the future of machine learning in structural biology and honored to have the opportunity to lead a group in this exciting area! #proteins247 1/

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Sarah Nyquist@snyquist2·6 Nis

So excited that our longitudinal study of the cells in human breast milk is out this week!

Britt Goods, Assistant Professor Dartmouth College@GoodsBrittany

1/ Our paper that looks at cells in human breast over the course of lactation was published in PNAS this week! A press release from MIT covers this, but read on for more details! Paper: pnas.org/doi/10.1073/pn… MIT News: news.mit.edu/2022/study-rev…

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Sarah Nyquist@snyquist2·23 Mar

Britt is such an amazing mentor and person. Check out this post doc opportunity in her group!

Britt Goods, Assistant Professor Dartmouth College@GoodsBrittany

My lab is looking to recruit talented post docs interested in #Immunology, #scRNAseq, and #WomensHealth. Check out our job posting linked below, and our lab's website!

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Brian L Trippe@brianltrippe·21 Şub

How can we collect good enough data for machine learning driven protein design? We show that random numbers are part of the picture. Work with the David Baker lab (including @erika_alden_d ) and MSRNE (with @KevinKaichuang and @lorin_crawford ). (1/4) biorxiv.org/content/10.110…

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Alecia-Jane Twigger@AJ_Twigger·28 Oca

Ever wondered what are the cells in human milk doing? Check out our latest work to find out!! go.nature.com/3IK8VPX @WTKLAB @UnivCamPharm @SCICambridge @HelmholtzMunich @Cambridge_SBS @ISRHML

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Jake Nyquist@Jake_Nyquist·1 Ara

Thank you @ForbesUnder30! Excited to finally get responses to my cold emails now.

Miami, FL 🇺🇸 English

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Brian L Trippe@brianltrippe·23 Şub

Ever used a hierarchical model to estimate a parameter and wondered if you’re actually doing better than a simpler baseline like maximum likelihood? We present a method addressing this question!

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Jose Ordovas-Montanes@ordovas_phd·18 Mar

1) We are sharing our manuscript identifying that the SARS-CoV-2 receptor ACE2 is an interferon stimulated gene in human upper airway epithelial cells. Results from an amazing team effort: papers.ssrn.com/sol3/papers.cf… (n/16)

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Stat.ML Papers@StatMLPapers·15 Şub

Conditional Density Estimation with Bayesian Normalising Flows. (arXiv:1802.04908v1 [stat.ML]) ift.tt/2EtOxpo

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Stat.ML Papers@StatMLPapers·22 Oca

Overpruning in Variational Bayesian Neural Networks. (arXiv:1801.06230v1 [stat.ML]) ift.tt/2Dn0MQg

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Sarah Nyquist@snyquist2·14 Şub

I vote for @RiceUniversity’s "GenomeAssemblyInAWeek" #Innov8POWER8 project. Cast your vote: ibm.co/1zc4v8z

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Keşfet

@blekhman @frankwalbert @rohitsingh8080 @lab_berger @NatureBiotech @ta_broderick @BarzilayRegina @erika_alden_d