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Uthsav Chitra Profile
Uthsav Chitra

@uthsavc

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Assistant Professor of Computer Science, Johns Hopkins University @JHUCompSci @HopkinsDSAI working on computational genomics + ML

Baltimore, MD
Joined September 2018
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@uthsavc
Uthsav Chitra
6 months
New life update! 🎆 🎓 This Fall, I will be joining the Department of Computer Science at Johns Hopkins University (@JHUCompSci) as an Assistant Professor, with an affiliation at the new Data Science and AI Institute (@HopkinsDSAI).
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@uthsavc
Uthsav Chitra
5 days
an elegant and extremely efficient (method-of-moments) test for epistasis in human traits congrats Boyang, Ali et al!! super excited to see this work published 🙂
@Boyang1995
Boyang Fu
5 days
🧬 Do genetic variants interact in humans? For years, the answer was “probably, but we lacked solid statistical evidence.” We now bring one of the strongest pieces of evidence to date. Thrilled to share our latest work, FAME, now at Nature Genetics:
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@PrincetonCS
Princeton Computer Science
11 days
Using a new deep learning algorithm, researchers at @Princeton have designed an approach to map the cellular organization of tissues by modeling spatial patterns in molecular data. https://t.co/899N66Lmtr
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@JHUCompSci
JHU Computer Science
2 months
The Department of Computer Science is pleased to welcome 9 new tenure-track faculty to its ranks this academic year! Featuring @anand_bhattad, @uthsavc, @zihyunchiu, @krisgligoric, @murat_kocaoglu_, @_ziyang_, @tizianopiccardi, @yaxingyao, & @zakynthinou: https://t.co/yPOQpGI3ua
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@TBaharav
Tavor Baharav
3 months
Unique Molecular Identifiers (UMIs) in RNA-seq are supposed to be… unique. But what if they don’t have to be? In our new preprint w/ Dylan Agyemang + @rafalab, we show that UMIs can be shorter—if you use the right estimator. 1/12
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@uthsavc
Uthsav Chitra
3 months
TissueMosaic is a super cool method for contrastive ST analysis with lots of rigorous benchmarking -- congrats @SandeepKambham2 et al!!
@SandeepKambham2
Sandeep Kambhampati
3 months
TissueMosaic, our method to study how changes in tissue structure across conditions affect cell-intrinsic function, is now out @CellSystemsCP! https://t.co/ctFE33aFPP
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@HopkinsDSAI
Johns Hopkins Data Science and AI Institute
4 months
#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. https://t.co/tAauSzRFWD
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@TBaharav
Tavor Baharav
4 months
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. https://t.co/X7x9nnxGa7 (1/n)
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@uthsavc
Uthsav Chitra
5 months
@JHUCompSci @JessikaBaral pointed out to me that this was my last talk as a trainee :')
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@uthsavc
Uthsav Chitra
5 months
Presenting at #ISMBECCB2025 tomorrow! GASTON-Mix, a unified model of spatial gradients and domains in spatial 'omics data. 11:20am UK time at RegSys Also recruiting students for my new lab at @JHUCompSci, feel free to reach out if you want to chat
@biorxiv_bioinfo
bioRxiv Bioinfo
10 months
GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts https://t.co/N9DTRYq8ns #biorxiv_bioinfo
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@JHUCompSci
JHU Computer Science
5 months
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. 🧬
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@JiaqiZhangVic
Jiaqi Zhang
5 months
1/6 Excited to share our latest preprint: "MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities". 🔗 https://t.co/4D82u5d6w0 🧵 👇 Here is what MORPH is in a nutshell!
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@uthsavc
Uthsav Chitra
5 months
Congrats to @gillianychu et al!!
@gillianychu
Gillian
6 months
The culmination of several PhD years — today LAML is published! LAML infers max likelihood time-resolved cell lineage trees from dynamic lineage tracing data accurately and efficiently. Thanks to @benjraphael for his guidance!
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@uthsavc
Uthsav Chitra
6 months
I am so deeply grateful for the support of many mentors and role models throughout the application process — there are too many to tag here, but thank you all 🙏 (Also grateful for the @HDSIUCSD Rising Stars in Data Science workshop which pushed me to apply this cycle!)
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@uthsavc
Uthsav Chitra
6 months
The Chitra Lab will build the next generation of machine learning and AI algorithms for addressing fundamental problems in biology. I am actively recruiting students — please visit our website for more details! https://t.co/8TK7BJcszt
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@joshuasweitz
Joshua Weitz
7 months
The White House Vision for Dismantling Science in One Simple Plot https://t.co/F3PHSlqRuV
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@Schmidt_Center
Eric and Wendy Schmidt Center
7 months
🎉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
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@TravisEGibson
Travis E Gibson
7 months
@GibsonLab
Gibson Lab
7 months
"Longitudinal profiling of low-abundance strains in microbiomes with ChronoStrain" - Kim et al. https://t.co/UXuuXKEodB
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@sebacultrera
Sebastiano Cultrera di Montesano
8 months
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. https://t.co/uX6paEG8k6
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@rohitsingh8080
Rohit Singh
8 months
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!
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