Michael Vinyard
@vinyard_m
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Deep neural networks and dynamical modeling of biology PhD @Harvard
Boston, MA
Joined March 2019
I also want to thank all of the collaborators, friends, family, and colleagues who contributed to this journey - especially the members of the Getz and Pinello labs.
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Last month, I defended my PhD thesis and graduated. I am eternally grateful to Luca Pinello, Gaddy Getz, and Brian Liau for their years of mentorship.
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I am grateful for such a nice day. This was a great way to conclude this journey. Thank you!.
CONGRATULATIONS 🎉to the @getzlab and @lucapinello labs’ newest minted PhD, @vinyard_m, on successfully defending his thesis yesterday!! We are all so proud. @BroadInstitute @MGHCancerCenter @Harvard. 🥂🥂🥂
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Thank you! I have been so lucky to have such great mentors.
Thrilled to celebrate @vinyard_m, a PhD student co-supervised by @gaddyg's lab, who successfully defended his thesis today. Congratulations, Dr. Vinyard! Special thanks to the examiners @brian_b_liau @JD_Buenrostro and everyone in the labs who contributed to this remarkable day!
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RT @lauradmartens: Is binarization of scATAC-seq data really necessary? The conclusion from our analysis is that a quantitative treatment i….
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RT @bloodgenes: Remarkable to see that our discoveries over 15 years ago would enable such tremendous advances for sickle cell disease and….
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Congrats, team!.
Absolutely thrilled to share this incredible work led by @JayoungR ! A huge shoutout to the collaborative efforts with @SherwoodLab, @ccassa, their teams and several key collaborators. Check out her excellent twettorial for a summary and link to the preprint!#CRISPR #BEAN 🧬🌟☕️.
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RT @GeffenYifat: So exciting to see these papers now published, an incredible team work. A huge thank you to our collaborators and co autho….
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RT @nikos_trasan: 💥 I am thrilled to announce that Dictys (<δίκτυον), our tool to reconstruct dynamic GRNs from single cell multiomics data….
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RT @nikos_trasan: Amazing talk by Luca Pinello on the new CRISPR-CLEAR tool! #Regsys #ISMBECCB2023 Conference, @ISCB #pinellolab #CRISPR h….
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RT @lucapinello: 1/6 A little thread to celebrate this milestone! Our SIMBA manuscript has finally seen the light of day, after a journey o….
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A tremendous privilege to be able to work with and learn from this team.
I am beyond excited to share that SIMBA, a versatile single-cell graph embedding method, has been published @naturemethods (1/6).
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RT @velvetatom: Running an AI x BIO HACKATHON this month with @openbioml @huggingface @LatchBio. 🧬💻 - remote, GPU's & API's provided. Hel….
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RT @ZeyuCHEN19: Excited to share our latest work dissecting a CD69 enhancer at base resolution out in @cellgenomics today .
cell.com
Chen and Javed et al. integrated epigenetic perturbations, base editing, and deep learning to dissect a CD69 enhancer. They identified a single C-to-T mutation that impacts gene expression by...
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RT @getz_lab: Michael Vinyard @vinyard_m | Modeling single-cell dynamics using stochastic generative models based on neural differential eq….
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If you’re not at AACR but you’re interested in single-cell dynamics, visit for early access to our Python package, scDiffEq, and to indicate your interest in collaborating. #AACR #singlecell #python #pytorch #GenerativeModels #ML #DeepLearning.
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Feel free to connect with me on LinkedIn or reach out to set up a meeting during the conference. Let's collaborate to unlock the dynamic insights of your single-cell data.
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If you have single-cell data that captures a dynamic process like tumor evolution or are just interested in learning about deep learning models applied to cancer biology, stop by my poster. I'm looking forward to seeing you there and exchanging ideas on this exciting topic.
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