
Roberta DeVito
@roberta_devito
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Statistician and data scientist. Assistant Professor @BrownBiostats @Brown_DSI
Joined February 2020
Thank you so much for these incredible years together. It’s been a true pleasure to be part of such an amazing community.
DSI Faculty @roberta_devito and Shekhar Pradhan are leaving Brown after years of service to DSI. We are so lucky to have had them as a part of our community, and we wish them great success and joy in their future endeavors!
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RT @Brown_DSI: DSI Faculty @roberta_devito and Shekhar Pradhan are leaving Brown after years of service to DSI. We are so lucky to have had….
dsi.brown.edu
DSI Faculty Roberta De Vito and Shekhar Pradhan will be leaving Brown at the end of the month after years of service to the Data Science Institute and Brown. We are so lucky to have had them as a...
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RT @Brown_DSI: Yesterday at DSI, we had our first poster session for the final projects of DATA 2020: Statistical Learning, taught by @robe….
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RT @Brown_DSI: DSI Postdoc @dafne_zorzetto will be giving a talk this afternoon at the #BAYSM2025 conference! “Multivariate Causal Effects….
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Thrilled to share that three of my students will be presenting at BAYSM! So proud of their hard work!.
We’re thrilled to share that Blake Hansen, Zizhao Xie, and Yingjie Huang from the Biostatistics Department at Brown University will be presenting their innovative research at #BAYSM2025. Check out the full schedule here:
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Join us for Data Matters Seminar with Alessandro Zito.
Join us for Data Matters next Tues 3/4 3pm with Dr. Alessandro Zito from @HarvardChanSPH! We'll be learning about compressive bayesian non-negative matrix factorization for mutational signatures analysis in the context of context of cancer research.
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RT @BrownBiostats: Announcing the Statistics Seminar & Charles K. Colver Lectureship Series Spring 2025 lineup! 🚨. Join us for an exciting….
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RT @Bea_Franzo: The registration is now open for the Bayesian Young Statisticians Meeting (BAYSM) 2025 that will be held online from 7-11 A….
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Excited to be part of this event with my talk on wildfire smoke the impact on health at 10:15 on February 14th @Brown_DSI @BrownBiostats.
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RT @BrownUResearch: Have you ever wondered why your body reacts differently to various viruses and diseases?. Skylar Sargent Walters ’26, a….
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RT @BrownCCMB: Join our 11/6 Comp. Biology Seminar with Derek Aguiar, Associate Prof. of Computer Science and Engineering at the University….
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RT @Brown_DSI: Last Friday, DSI hosted a WiDS Providence conference, featuring experts from data science industry and academia. The event d….
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RT @BrownBiostats: Arman Oganisian, Ph.D., will be presenting at the @amstatnews #JSM2024 (Joint Statistical Meetings) in Portland, Oregon….
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And finally this is out. How to make factor analysis and multi-study factor analysis very fast with Blake Hansen, @AleAviP @argMaxRusso @BrownBiostats @Brown_DSI .
tandfonline.com
Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods...
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RT @Brown_DSI: Ying Ma, Assistant Professor of Biostatistics, discusses her recent paper, early career awards, and big goals for the future….
dsi.brown.edu
Get to know Ying Ma, Assistant Professor of Biostatistics and Core Faculty at the Center for Computational Molecular Biology (CCMB).
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So proud of my PhD student Blake Hansen that won the best poster award at the NESS conference for our paper "Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings" together with Ale Avalos and Max Russo @AleAviP @argMaxRusso @BrownBiostats.
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RT @BrownBiostats: Arman Oganisian (@StableMarkets) presenting "Bayesian Semiparametric Models for Sequential Treatment Regimes with Missin….
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RT @BrownBiostats: Roberta De Vito presented "Bayesian Multi-study Non Negative Matrix Factorization" at the #ISBA2024 World Meeting yester….
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