Associate Professor @jhubiostat geospatial, statistics, machine learning, AI, environmental health, global Health.
Baltimore, MD
Joined September 2014
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So proud and excited to see my former PhD advisee and @jhubiostat alumnus @ArkajyotiSaha2 join UC Irvine Statistics Department as an Assistant Professor! Wishing you continued success.
I'm thrilled to share that I've started as an assistant professor in the Department of Statistics at UC Irvine's Donald Bren School of ICS (@UCIbrenICS). This would not have been possible without my mentors @daniela_witten, Jacob Bien, @datta_science, and @nilanjan10c!
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/ujae0…
I will be teaching a short course on geospatial machine learning at the International Biometric Society conference. #IBC2024ATL
Sign up here.
ibc2024.org/events/shortcour…
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-EJS2275
Excited to share new work with Bohao Tang, @yi_zhao1026, Brian Caffo. We generalize Gaussian Process regression to distribution-valued covariates, like high-frequency repeated measurements from sensors or outputs from probabilistic algorithms like MCMC.
arxiv.org/pdf/2303.06434.pdf
Abhi Datta retweeted
We first honor the eight recipients of the 2024 COPSS Emerging Leader Award! 👏 Congratulations to @datta_science, @Anru_Zhang, @baileyfosdick, @DanieleDurante2, Jennifer Bobb, Sandra Safo, Shu Yang, and Zheng Tracy Ke!
Abhi Datta retweeted
Congratulations to @elizabethTchin, @datta_science, Sandipan Pramanik, and @ScottZeger 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-science…
ALT 2024 Data Science & AI Institute Demonstration Projects Awards Congratulations Abhirup Datta, Associate Professor Elizabeth Chin, Assistant Professor Sandipan Pramanik,Postdoctoral Fellow Scott Zeger, John C. Malone Professor Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics
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/geospaNN/
The final version of the paper is also out now.
doi.org/10.1080/01621459.202…
🚀 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.…
Software: pypi.org/project/geospaNN/
📢 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/dAcmAJydwSCNAnbC9
🚀 New paper with former @jhubiostat student Claire Heffernan & @rdpeng @KirstenKoehler @drew_gentner @MistiLevyZamora
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…
Abhi Datta retweeted
My paper is now published in Biometrics: academic.oup.com/biometrics/…. 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
🚀 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.…
Software: pypi.org/project/geospaNN/
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.🎓
Honored to be among the recipients of the 2024 COPSS Emerging Leader Award.
community.amstat.org/copss/a…
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
Finally out in the Annals of Applied Statistics.
doi.org/10.1214/23-AOAS1751
New paper forthcoming at Annals of Applied Statistics led by PhD student Claire Heffernan & with @rdpeng @KirstenKoehler @drew_gentner
We show that regression-based calibration of low-cost sensor air-pollution data underestimates pollution peaks. 1/
arxiv.org/pdf/2203.14775.pdf
Looking forward to visiting Yale Biostatistics @ysphbiostat 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…
Visiting @CornellDSDS 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/stat…
It was great to participate in the @JHU_India 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. 🌿🤝
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_Intl #GlobalHealth
