@EricDSun

Machine learning for aging, spatial/single-cell omics, immunology || Assistant Professor @MIT | PhD @Stanford

 Stanford, CA
Joined October 2021
  • Tweets81
  • Following248
  • Followers1K
20Media
I’m very excited to be joining MIT Biological Engineering @MITdeptofBE as an Assistant Professor and the Ragon Institute @ragoninstitute as a member in January 2026! I will be recruiting students and postdocs (see more info below).
32
36
2
701
60,744
Eric Sun retweeted
Brunet Lab@BrunetLabApr 9
Interested in aging and rejuvenation? We have a new Research Assistant position to understand aging at the cellular level!! Come join our team!!! 😎 careersearch.stanford.edu/jo…
1
37
2
144
15,268
Eric Sun retweeted
James Zou@james_y_zouMar 17
#CellVoyager is published in @NatureMethods! 🔬 Autonomous comp bio agent 🧬 Analyzes bio data to make new discoveries 💻 Runs in Jupyter notebooks → interactive & reproducible 📊 Generated expert-validated insights on COVID-19, cell–cell communication and aging
4
30
144
14,107
Aging may feel gradual… but what if it’s not? In our paper out today, we tracked fish continuously from puberty until death. This gave us a unique view of how aging unfolds across the adult lifespan. 🧵
21
149
24
558
73,451
Eric Sun retweeted
Brunet Lab@BrunetLabFeb 13
We have posted a Research Assistant (LSRP1) position to work on aging and 'rejuvenation' using mouse models!! 🐭 careersearch.stanford.edu/jo… Apply and join our awesome lab!! (please share) 😎
3
31
1
121
9,582
How to get AI to make discoveries on open scientific problems? Most methods just improve the prompt with more attempts. But the AI itself doesn't improve. With test-time training, AI can continue to learn on the problem it’s trying to solve: test-time-training.github.io…
25
167
54
746
388,644
We recently organized #Agents4Science, the 1st conference where LLMs are both authors and reviewers🤖 It was an open experiment to assess how well AI can lead research and review papers. Today we report what we learned in @NatureBiotech Highlights in 🧵
6
76
4
339
43,156
Can we predict the spatial effects of single-cell perturbations? Excited to share our preprint introducing SpatialProp, which computationally propagates single-cell transcriptomic perturbations across tissues, along with key frameworks for evaluating spatial perturbation models.
4
21
1
139
12,243
more replies
Our preprint can be accessed here: biorxiv.org/content/10.64898…. The API and analysis code for SpatialProp can be found at: github.com/abuendia/spatial-….

SpatialProp: tissue perturbation modeling with spatially resolved single-cell transcriptomics

Perturbational studies are the gold standard for identifying causal relationships between components of biological systems. Recent technological advances, including Perturb-seq and related assays,...

biorxiv.org
1
4
754
Great collaborative work with @abuen_dia @BrunetLab @james_y_zou
4
660
Can we predict the spatial effects of single-cell perturbations? Excited to share our preprint introducing SpatialProp, which computationally propagates single-cell transcriptomic perturbations across tissues, along with key frameworks for evaluating spatial perturbation models. xitter.cf/EricDSun/status/199623…
1
1
337
The SpatialProp pipeline is simple, involving a GNN for predicting gene expression from the spatial microenvironment and a series of post-processing steps (SparseRenorm) to calibrate for prediction errors in the perturbation context.
241
#Agents4Science received over 300 submissions and accepted 48 papers. Check them out here: openreview.net/group?id=Agen… Many of these AI agent-written papers are quite interesting! The online conference will be on Oct 22; you can register for free at stanford.zoom.us/webinar/reg…
6
35
7
174
69,109
I would like to extend a big thank you to my amazing co-advisers @james_y_zou & @BrunetLab and to my many fantastic mentors, colleagues, and collaborators!
1
9
3,409
For interested postdocs and students (grad & undergrad), please reach out to me at [email protected]!
1
4
21
3,366
Load more