
Nico Gort-Freitas
@nich
PhD in systems biology @Harvard @KleinLabHMS. Ex digital nomad @MinervaUni @sfiscience. Hematopoiesis & single-cell bioinformagic. Jazz 𝄢. 🇦🇷🇧🇷🤟
ID: 35946650
28-04-2009 01:48:29
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485 Followers
458 Following

This is the best summary of my conversations with Sid while at Santa Fe Institute. I highly recommend his episode of the Complexity podcast (h/o Michael Garfield 🔮) to hear about his approach to choosing interesting problems. Link: open.spotify.com/episode/1Tq0Sh….

It's time for the 2022 application cycle! We are reopening our HMS_SysBio SSQBio application assistance program for the third year at the following link. Can't wait to meet the new applicants! forms.gle/DyshN9KfbAznQV…

We’re thrilled to share MrVI, a deep generative model for analyzing sample-level heterogeneity in single-cell RNA-seq datasets! This work with Pierre Boyeau and Adam Gayoso Yosef Lab was born out of a simple yet challenging question: what can we do with large-sample data? 1/


A very elegant approach to simulating cell state transitions based on inferring gene regulatory networks locally and then walking through the cell state manifold by propagating in silico TF perturbations. Excellent work by Kenji Kamimoto and Samantha Morris!


Shout out to Nico Gort-Freitas, Jeremy Gungabeesoon, Kiss Máté on our paper doi.org/10.1016/j.cell… on heterogeneity in tumor neutrophils and why it matters. A great summary by The Pittet Lab below:



Congrats MariusMessemaker!



🎉 Excited to share a big part of my PhD work in Allon Klein Lab that took many, many years and my blood, sweat, and tears! 😅 We ask - What’s the role of cell division in the formation of initial cell types during early development ?🧐 biorxiv.org/content/10.110… 🧵 (1/14)



Our 🪐SATURN method is now out in Nature Methods! SATURN paves the way for universal cell embeddings, enabling integration of datasets across different species 🐒🐁🧍🐟🐸 Using protein language models, we encode biological meaning of genes in scRNA-seq datasets.


