Yichen Zhang

Nice to see our recent work published in its final form @CellGenomics. Excited to work on more #topicmodel for #singlecell #CancerResearch

A great example of using special data structures to guide topic modeling. In this work, we consider tree structure, to uncover hierarchical relationships between immune cell types.

@NovakovskyG Congrats Dr.Novakovsky!

I cannot express how happy and grateful I am! It wouldn’t happen without great scientists and friends I met along the way! I am Dr Gherman now!

Been making some intro asymptotic stats theory videos (for my course). Perhaps others might find them useful. Thumbnails are pictures of the baby! More videos to come soon! youtube.com/playlist?list=…

Not sure which one is which though

I just wrote “me and my advisor”

Deep learning applications in single-cell omics data analysis biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

Calling all computational biologists, data & machine learning scientists: Join our #NeurIPS2021 competition that presents a first-of-its-kind #singlecell multi-omics benchmarking dataset, 3 challenges, and $15,000 in prizes from @cellaritybio Get started: openproblems.bio/neurips_2021/

(1/3)I am happy that scArches is finally out, this is how we think about the future of single-cell genomics, instead of analyzing every new data from scratch, harness the power of multi-omic reference atlases using transfer learning to transfer knowledge!

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/…

#MLCB2020 is happening! A fully independent virtual conference this year, Nov 23-24. Checkout the amazing line up of keynote speakers: mlcb.org Abstract deadline: Sept 30th. @anshulkundaje @suinleelab @james_y_zou @david_a_knowles @QuonBio

So hilarious😆, make sure you watch to the END.

My favorite ML educators: [1/n] - @JayAlammar: visual guides on NLP - @fishnets88: intuition & real-world anecdotes - @CShorten30, @ecsquendor, @ykilcher : netflix of research papers - @letiepi: bite-size animated videos on ML - @nlpguy_: experience on NLP in industry

.@BCChildrensHosp's Dr. Michael Kobor & Dr. Sara Mostafavi are part of a cross-disciplinary team awarded a @Manulife CIFAR Population Health & Wellbeing Grant to study the long-term affects of the pandemic on children’s health. Congratulations! More: bit.ly/338wLn2

Excited to talk about our work tomorrow in #ISMB2020, #MLCSB, Machine Learning in Computational and Systems Biology. Check it out if you are interested! iscb.org/ismb2020

Hilariously advertised ISMB 2020 happy hour by the inimitable @jmschreiber91 docs.google.com/document/d/12s…

What makes production ML hard? - Cleaning, labeling, and augmenting data - Troubleshooting training and ensuring reproducibility - Deploying models and monitoring their real-world impact To help, we're excited to announce our online production ML course: course.fullstackdeeplearning.com

We were surprised & concerned by yesterday's announcement, which could have major implications for our international student population. We will do what we can to determine what the impact of this proposal would be & to seek to change it to minimize that impact on our students.

Quite interesting work on the "masked" neural network. See lots of potentials to apply it to biological tasks. Thanks @ykilcher for always producing such a high-quality paper review.

Computer Vision just got an Upgrade 🔥 SpineNet is a smaller, better and faster replacement to ResNet by @GoogleAI obtained using Neural Architecture Search 💪 Watch the Video 👀 youtu.be/qFRfnIRMNlk @Phyyysalis @tanmingxing @YinCui1 @quocleix Thumbnail Art by Lucas Ferreira!