Roberta DeVito

Statistician and data scientist. Assistant Professor @BrownBiostats @Brown_DSI

[Roberta DeVito @roberta_devito]

Our new paper is out: Bayesian nonparametric causal inference for high-dimensional nutritional data using factor-based exposure mapping. https://t.co/LTZknCkvPk
Joint work with my postdoc Dafne Zorzetto and collaborators @StableMarkets @BrownBiostats

[Roberta DeVito @roberta_devito]

Happy to give a talk at ICSDS on “Bayesian Regression Factor Model with Multivariate Causal Effect”,
joint work with my postdoc Dafne Zorzetto @BrownBiostats

[TeraLabSapienza @TeraLabSapienza]

🔬 Meet the Team: @roberta_devito 
Statistician and Assistant Professor at Sapienza and Adjunct Professor at Brown University.

Her work focuses on genomics, epidemiology, cancer risk, latent variable models, Bayesian methods and ML for high-dimensional data.

[CCMB at Brown @BrownCCMB]

CCMB is pleased to announce Julian Stamp's PhD defense on Monday, December 1st @ 1pm, entitled "Statistical and Computational Advances for Detecting Nonlinear Contributions to Complex Traits".
Advisors: Lorin Crawford, PhD and Daniel Weinreich, PhD
https://t.co/XhyuUluouD

[Roberta DeVito @roberta_devito]

Thrilled and honored to serve as General Chair for CIBB 2026! 🎉
📅 September 2–4, 2026
📍 Sapienza University of Rome
Can’t wait to welcome colleagues, friends, and new faces! https://t.co/sUU93zUse7

[Roberta DeVito @roberta_devito]

Thank you so much for these incredible years together. It’s been a true pleasure to be part of such an amazing community.

[Brown Data Science Institute @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 them as a part of our community, and we wish them great success and joy in their future endeavors! https://t.co/trdOqsYhHM

[Brown Data Science Institute @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 them as a part of our community, and we wish them great success and joy in their future endeavors! https://t.co/trdOqsYhHM

[Brown Data Science Institute @Brown_DSI]

Yesterday at DSI, we had our first poster session for the final projects of DATA 2020: Statistical Learning, taught by @roberta_devito. The students presented their projects to peers and to faculty judges. We'll have our second poster session for this class tomorrow at 10:30!

[Roberta DeVito @roberta_devito]

The first DATA 2020 poster session was a blast! So proud of my students and grateful to everyone who served as judges for the Best Poster Award

[Brown Data Science Institute @Brown_DSI]

DSI Postdoc @dafne_zorzetto will be giving a talk this afternoon at the #BAYSM2025 conference! “Multivariate Causal Effects of Wildfire Smoke on Air Pollution: a Bayesian Causal Regression Factor Model” https://t.co/wtr9c95B8W

[Roberta DeVito @roberta_devito]

Thrilled to share that three of my students will be presenting at BAYSM! So proud of their hard work!

[Brown Biostatistics @BrownBiostats]

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: https://t.co/eeyVvkJSmR

[Roberta DeVito @roberta_devito]

Join us for Data Matters Seminar with Alessandro Zito

[Brown Data Science Institute @Brown_DSI]

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. https://t.co/lCaZubwCBx

[Brown Biostatistics @BrownBiostats]

Announcing the Statistics Seminar & Charles K. Colver Lectureship Series Spring 2025 lineup! 🚨

Join us for an exciting roster of speakers and discussions on Mondays at noon!

https://t.co/NCCXcBcU2d

[Beatrice (Bea) Franzolini @Bea_Franzo]

The registration is now open for the Bayesian Young Statisticians Meeting (BAYSM) 2025 that will be held online from 7-11 April 2025.
Conference website: https://t.co/ta7YJQTjA1

[Roberta DeVito @roberta_devito]

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

[Brown Research @BrownUResearch]

Love Data Week starts today!

More info ➡️ https://t.co/0tOf7AUVeN

[Brown Research @BrownUResearch]

Love Data Week starts today!

More info ➡️ https://t.co/0tOf7AUVeN

[Brown Research @BrownUResearch]

Have you ever wondered why your body reacts differently to various viruses and diseases?

Skylar Sargent Walters ’26, a computational biology concentrator at Brown, is developing a deep learning model to classify and discover unidentified bacteria and viruses.

[CCMB at Brown @BrownCCMB]

Join our 11/6 Comp. Biology Seminar with Derek Aguiar, Associate Prof. of Computer Science and Engineering at the University of Connecticut on "Deep statistical modeling of nanopore sequencing translocation times reveals latent non-B DNA structures." https://t.co/7hFcunufhN

[Brown Data Science Institute @Brown_DSI]

Last Friday, DSI hosted a WiDS Providence conference, featuring experts from data science industry and academia. The event drew over 100 Brown students and community members. Thank you to everyone who attended and shared their work! @simocristea @harini824 @KarianneBergen

[Brown Biostatistics @BrownBiostats]

Arman Oganisian, Ph.D., will be presenting at the @amstatnews #JSM2024 (Joint Statistical Meetings) in Portland, Oregon from August 3rd-8th, 2024!

Session: Advances in Bayesian Methods for Evidence-based Health Policy