Postdoc @Bendall_Lab @MikeAngeloLab @Stanford
Palo Alto, CA
Joined March 2014
- Tweets98
- Following192
- Followers181
- Likes986
Hadeesha Piyadasa retweeted
Most spatial CRISPR screens require trade-offs in throughput or readout depth. A new preprint from @alexnevue, @Inna_Averbukh, @Davidlarastiaso & team introduces PerturbSpace: spatially resolved, multimodal, whole-transcriptome on standard single-cell workflows.
Hadeesha Piyadasa retweeted
Thrilled to share that Nimbus, our method to robustly identify cell positivity in multiplexed imaging data, is out @naturemethods! If you've struggled with cell clustering/phenotyping in imaging data, please give it a try. nature.com/articles/s41592-0…
Hadeesha Piyadasa retweeted
Super excited to introduce QUICHE (Quantitative InterCellular Niche Enrichment) - a statistical method that can be used to discover local cellular niches differentially enriched in spatial regions, longitudinal samples, or clinical patient groups :) (1/10) biorxiv.org/content/10.1101/…
Hadeesha Piyadasa retweeted
I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic characterization of how the breast cancer microenvironment evolves through immunotherapy! (1/x) biorxiv.org/content/10.1101/…
Hadeesha Piyadasa retweeted
I am thrilled to share my preprint with @Bendall_Lab that includes a new and comprehensive phenotypic atlas of human hematopoietic progenitor cells. Check out how we reconcile the diversity of human HSPCs in the tweetorial below. biorxiv.org/content/10.1101/…
Hadeesha Piyadasa retweeted
Save the Date! Please join us in August for our 2nd Annual Spatial Biology Workshop! @_hubmap @ncihtan #spatialbiology @WellcomeLeap
We're excited to announce that the 2nd annual Spatial Biology Workshop will be taking place August 28th-30th at Stanford. The workshop will cover new techniques and tools for generating and analyzing spatial data, as well as new biology discovered using spatial methods.
ALT Flyer announcement for workshop, which will take place August 28th-30th at Stanford.
Hadeesha Piyadasa retweeted
Our new @_hubmap study examining how the maternal fetal interface is established in human pregnancy is out! Big effort led by @Inna_Averbukh, @ErinSoon_ , @ShirleyGreenba1. So proud of the beautiful study they completed!
nature.com/articles/s41586-0…
Hadeesha Piyadasa retweeted
Thrilled to share the preprint from my postdoc work in the @Bendall_Lab with @MikeAngeloLab and Thomas Montine at @StanfordMed looking at human microglia in situ in #aging and #Alzheimers disease by multiplexed proteomic imaging! shorturl.at/agCN0
Hadeesha Piyadasa retweeted
Watch Starship’s first integrated flight test → spacex.com/launches xitter.cf/i/broadcasts/1OyKAVQrg…
Hadeesha Piyadasa retweeted
Excited to announce our first ever MIBI workshop! We'll be talking about the new tools our lab has developed for generating, processing, and analyzing MIBI data. We'll also be going over our workflow for reagent validation, panel design, and troubleshooting pesky antibodies.
Hadeesha Piyadasa retweeted
Excited to share the latest preprint with @MikeAngeloLab! While imaging studies often focus on cell objects, images capture significant info outside of cells. Enter Pixie, a pipeline for the quantitative annotation of both pixel and cell level features🧵biorxiv.org/content/10.1101/…
Hadeesha Piyadasa retweeted
Excited to share our new review about all things MIBI, out in @AnnualReviews! As multiplexed imaging technology has advanced, there has been a demand for new analysis tools. We discuss these tools and show examples in various contexts. @MikeAngeloLab 🧵annualreviews.org/doi/full/1…
Hadeesha Piyadasa retweeted
Out today on the cover of @Cellcellpress! We created the first high-dimensional spatial atlas of breast cancer progression to understand why some patients with DCIS go on to develop invasive breast cancer while others do not. @Mikeangelolab @NCIHTAN tinyurl.com/exwnard8
Hadeesha Piyadasa retweeted
I’m super excited to share our work, out today @NatureBiotech: a new deep learning algorithm to accurately identify cells in imaging data! Our method works across image platforms, tissue types, and species with no fine-tuning required 🧵 nature.com/articles/s41587-0…
Hadeesha Piyadasa retweeted
🤰Stanford is recruiting MD and/or PhD independent investigators for the Dunlevie Maternal-Fetal Medicine Center. Under Represented minorities and women HIGHLY ENCOURAGED to apply. Please retweet!🤰 obgyn.stanford.edu/faculty-a…
Hadeesha Piyadasa retweeted
Interested in working on cutting edge multiplexed imaging datasets and omics integration? We’re hiring a computational research associate! Come join our awesome, collaborative team. More details in the link below, please RT.
careersearch.stanford.edu/jo…
Hadeesha Piyadasa retweeted
Extremely excited to share our work mapping the human maternal fetal interface in the first 20 weeks of pregnancy. Thank you to @_hubmap, @stanfordPath, @stanfordMed, congratulations to @ ShirleyGreenba1, @ErinSoon_, @Inna_Averbukh on a beautiful high dimensional imaging study.
Saved my 1st tweet for my 1st paper and very excited to share what I’ve been working on with @ShirleyGreenba1 and @Inna_Averbukh in @MikeAngeloLab! We assembled the 1st spatio-temporal protein tissue atlas of the human maternal-fetal interface at single-cell resolution 🧵[1/9]
Hadeesha Piyadasa retweeted
The @MikeAngeloLab is hiring a research assistant! Come work on cutting edge projects in cancer biology, immunology, and pathology. We have a supportive environment, a great team, and you'll get to enjoy Stanford's beautiful campus. Job ad here, DM w/ Q's careersearch.stanford.edu/jo…
Hadeesha Piyadasa retweeted
I’m super excited to share what I’ve been working on for the last three years: a new deep learning algorithm to accurately identify cells in imaging data! Our method works across image platforms, tissue types, and species with no fine-tuning required. 🧵
biorxiv.org/content/10.1101/…
Hadeesha Piyadasa retweeted
Nobody on this planet may have spend their time at home better than @MarkRober in the last few months. youtube.com/watch?v=hFZFjoX2…