Postdoc at Gladstone Institute with @BeEngelhardt, previously @MITCSBPhD student in @shaleklab @lab_berger, she/her
Joined February 2012
- Tweets 19
- Following 388
- Followers 172
- Likes 212
Photos and videos
Sarah Nyquist retweeted
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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8 Aug 2023
Thank you so much for hosting me! What a great day of milk discussions and San Diego sunshine!
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Sarah Nyquist retweeted
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/riHkpvZpEexr6XpB8
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Sarah Nyquist retweeted
25 Jan 2023
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/10.1101/… This project began…
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Sarah Nyquist retweeted
13 Dec 2022
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/10.1101/… 🧵
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Sarah Nyquist retweeted
10 Dec 2022
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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Sarah Nyquist retweeted
20 Jun 2022
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/s41587-0…. Here's a🧵on what we did and what we found!
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Sarah Nyquist retweeted
10 Jun 2022
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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Ellen is amazing — definitely consider joining her group if you can!
6 Jun 2022
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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6 Apr 2022
So excited that our longitudinal study of the cells in human breast milk is out this week!
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/pnas.21…
MIT News: news.mit.edu/2022/study-reve…
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23 Mar 2022
Britt is such an amazing mentor and person. Check out this post doc opportunity in her group!
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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Sarah Nyquist retweeted
21 Feb 2022
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/10.1101/…
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Sarah Nyquist retweeted
28 Jan 2022
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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Sarah Nyquist retweeted
1 Dec 2021
Thank you @ForbesUnder30! Excited to finally get responses to my cold emails now.
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Sarah Nyquist retweeted
23 Feb 2021
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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Sarah Nyquist retweeted
17 Mar 2020
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.… (n/16)
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Sarah Nyquist retweeted
15 Feb 2018
Conditional Density Estimation with Bayesian Normalising Flows. (arXiv:1802.04908v1 [stat.ML]) ift.tt/2EtOxpo
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Sarah Nyquist retweeted
22 Jan 2018
Overpruning in Variational Bayesian Neural Networks. (arXiv:1801.06230v1 [stat.ML]) ift.tt/2Dn0MQg
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13 Feb 2015
I vote for @RiceUniversity’s "GenomeAssemblyInAWeek" #Innov8POWER8 project. Cast your vote: ibm.co/1zc4v8z
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