Uthsav Chitra @uthsavc

Assistant Professor of Computer Science, Johns Hopkins University @JHUCompSci @HopkinsDSAI | computational biology + stats/ML uthsavc.github.io Cambridge, MA Joined September 2018

Tweets

408
Followers

973
Following

584
Likes

34K

Johns Hopkins Data Science and AI Institute @HopkinsDSAI

2 weeks ago

#HopkinsDSAI welcomes 22 new faculty members, who join more than 150 DSAI faculty members across @JohnsHopkins in advancing the study of data science, machine learning, and #AI and translation to a range of critical and emerging fields. ai.jhu.edu/news/data-scie…

3 27 190 38K 31

Download Image

Tavor Baharav @TBaharav

a month ago

Should you take an SVD before or after integrating your data? Our new preprint derives some surprising insights using tools from Random Matrix Theory. With @PhillipNicol, @rafalab, and Rong Ma. arxiv.org/pdf/2507.22170 (1/n)

1 6 25 3K 10

JHU Computer Science @JHUCompSci

2 months ago

Congrats to Ben Langmead on his promotion to full professor! 🎉 Prof. Langmead is recognized across the computational & life sciences fields for his innovative methods helping to transform how biomedical researchers and other life scientists access & use DNA sequencing data. 🧬

3 8 66 4K 2

Download Image

Jiaqi Zhang @JiaqiZhangVic

2 months ago

1/6 Excited to share our latest preprint: "MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities". 🔗 biorxiv.org/content/10.110… 🧵 👇 Here is what MORPH is in a nutshell!

2 15 114 14K 44

Download Image

Uthsav Chitra @uthsavc

2 months ago

Congrats to @gillianychu et al!!

Gillian @gillianychu

2 months ago

Congrats to @gillianychu et al!!

0 2 9 1K 0

0 0 3 358 0

Joshua Weitz @joshuasweitz

3 months ago

The White House Vision for Dismantling Science in One Simple Plot open.substack.com/pub/joshuaswei…

0 11 15 5K 3

Download Image

Eric and Wendy Schmidt Center @Schmidt_Center

4 months ago

🎉Congrats! 🥇@uthsavc: Mapping the topography of spatial gene expression with interpretable deep learning 🥈Anurendra Kumar: CellWHISPER: Inference of contact-mediated cell-sell signaling 🥉@xinhez: An AI-Cyborg System for Adaptive Intelligent Modulation of Organoid Maturation

0 3 14 999 0

Download Image

Travis E Gibson @TravisEGibson

4 months ago

Congrats Youn! and team, @lab_berger @HultgrenLab @broadinstitute @MIT @GeorgKGerber1 @BrighamWomens @MGBResearchNews @harvardmed @AshleeMEarl

Gibson Lab @GibsonLab

4 months ago

Congrats Youn! and team, @lab_berger @HultgrenLab @broadinstitute @MIT @GeorgKGerber1 @BrighamWomens @MGBResearchNews @harvardmed @AshleeMEarl

3 2 13 5K 2

Download Image

0 3 7 3K 3

Sebastiano Cultrera di Montesano @sebacultrera

4 months ago

Excited to share our latest preprint, introducing the hierarchical cross-entropy (HCE) loss — a simple change that consistently improves performance in atlas-scale cell type annotation models. doi.org/10.1101/2025.0…

1 8 12 3K 5

Download Image

Rohit Singh @rohitsingh8080

4 months ago

I met @uthsavc at RECOMB '22. We got lunch and talked science. His GASTON work (RECOMB '24), with its isodepth, was the missing piece for applying our DAG Granger Causality (RECOMB '23) to spatial settings. And thus GLACIER got going, led by Prannav Shankar and @hliang74!

0 1 2 502 0

Rohit Singh @rohitsingh8080

5 months ago

At RECOMB-Seq, I will be presenting GLACIER, with @uthsavc and my trainees Prannav and @hliang74 , where we introduce Spatial Granger Causal inference: decoding the drivers of tissue topology. It's a lovely RECOMB-to-RECOMB story, will tweet more soon. biorxiv.org/content/10.110…

0 3 1 622 0

Fabian Theis @fabian_theis

6 months ago

2/ Here, wanted to highlight interesting approach from Bonnie Berger’s lab @MIT, velorama @CellSystemsCP. It goes the other way than regvelo, essentially leverages dynamics to infer regulatory interactions from single cell transcriptome and velocities, see cell.com/cell-systems/a…

0 5 32 3K 22

Eric and Wendy Schmidt Center @Schmidt_Center

7 months ago

Congratulations to @Schmidt_Center postdoc @uthsavc and team on their preprint, which introduces GASTON-Mix, an unsupervised deep learning approach for more accurately inferring spatial domains and gradients of gene expression: biorxiv.org/content/10.110… @broadinstitute

1 3 6 485 0

Henri Schmidt @henrismitch

7 months ago

🚀 introducing fastppm: turbocharging tumor phylogeny reconstruction from bulk DNA-seq! we develop a new technique, tree-structured dual dynamic programming, to obtain 50-450x speedups for an important tumor phylogeny regression problem. check it out: biorxiv.org/content/10.110….