🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Important discussions at the #MITSAlliance summit in Nairobi on the potential of MITS (Minimally Invasive Tissue Sampling) for understanding cause-of-death at individual and population level. Shared our work on using MITS to calibrate verbal autopsies.🌍📊 RTI International #GlobalHealth

It was great to participate in the Johns Hopkins Gupta-Klinsky India Institute (GKII) panel on AI for Climate and Health in India yesterday at the #555Penn building in DC. 🌍💡Insightful and diverse perspectives shared on the opportunities and challenges of AI in shaping climate and health research and policy. 🌿🤝

Visiting Cornell Statistics and Data Science today for a seminar. Looking forward to speaking about machine learning for spatially dependent data by incorporating data covariances into the algorithms. stat.cornell.edu/events/statist…

Looking forward to visiting Yale Biostatistics Yale Biostatistics today. Giving a seminar on model-free generalized Bayes for compositional data and application to calibration of verbal autopsies for improving national cause-specific mortality estimates. ysph.yale.edu/event/ysph-bio…

Finally out in the Annals of Applied Statistics. doi.org/10.1214/23-AOA…

Will be presenting at The International Environmetrics Society TIES_isi webinar today and sharing my experience on using spatial machine-learning for environmental data. environmetrics.xyz/home

Honored to be among the recipients of the 2024 COPSS Emerging Leader Award. community.amstat.org/copss/awards/l…

Congratulations to Dr. Claire Heffernan, freshly minted PhD from jhubiostat ! 🥳🎉 Witnessing the completion of a PhD is always a moment to cherish as an academic, celebrating both the achievement and the journey.🎓

🚀 Excited to share new paper led by jhubiostat PhD student Wentao Zhang. We show the limitations of traditional neural networks for geospatial data and introduce a GNN that explicitly models spatial correlations. tandfonline.com/doi/full/10.10… Software: pypi.org/project/geospa…

My paper is now published in Biometrics: academic.oup.com/biometrics/art…. Building off recent work, I develop a fast and exact way to obtain confidence intervals for the constant treatment effect when using the ANCOVA test statistic in a randomization inference framework

🚀 New paper with former jhubiostat student Claire Heffernan & @rdpeng Kirsten Koehler Gentner Lab Misti Levy Zamora, PhD Did the COVID-19 lockdowns affect air quality? We present a causal perspective using machine-learning based interrupted time series. academic.oup.com/aje/article-ab…

📢 Attention All Graduate Students! 🌟 🎓 Attending #JSM2024? Don't miss out on the Graduate Student Mentoring Session organized by ASA Section on Statistics and Environment (ENVR)! abhidatta.com/flyer.pdf Join in-person (with lunch) or online. Sign-up: forms.gle/dAcmAJydwSCNAn…

Want to use neural networks for geospatial analysis, but not sure how to account for spatial correlation in the data? Check out the package geospaNN (geospatial neural networks) pypi.org/project/geospa… The final version of the paper is also out now. doi.org/10.1080/016214…

Congratulations to Elizabeth (Liz) Chin, Abhi Datta, Sandipan Pramanik, and Scott who were each part of teams who received an inaugural 2024 Data Science and AI Institute Demonstration Projects Award. Read more about their projects online: ai.jhu.edu/news/data-scie…

We first honor the eight recipients of the 2024 COPSS Emerging Leader Award! 👏 Congratulations to Abhi Datta, Anru Zhang, Bailey Fosdick, Daniele Durante, Jennifer Bobb, Sandra Safo, Shu Yang, and Zheng Tracy Ke!

New paper! We extend Gaussian process regression to handle distribution-valued covariates. Provably optimal, and not needing the usual density estimation step in distribution regression. Check out this simpler, more direct approach! 📊✨ doi.org/10.1214/24-EJS…

I will be teaching a short course on geospatial machine learning at the International Biometric Society conference. #IBC2024ATL Sign up here. ibc2024.org/events/shortco…

New paper w/ former jhubiostat student Brian Gilbert! We introduce visGP—a visibility-graph-based Gaussian process for spatial analysis in non-convex domains. It preserves Euclidean covariances where valid while incorporating complex domain geometry. doi.org/10.1093/biomtc…

So proud and excited to see my former PhD advisee and jhubiostat alumnus Arkajyoti Saha join UC Irvine Statistics Department as an Assistant Professor! Wishing you continued success.

Visiting Rutgers Statistics Department today. statistics.rutgers.edu/images/Datta20…