update bloomberg clusters

 a lot more than clusters is scaling 2025-6 with singapore and bloomberg taking its 8th new economy summit to india at same time gupta-klinks-india appears to be hopkins main medical partnership abroad (though there are eg SAIS triple cities - baltimore- bologna-nanjing).Hopkins has long been us main reserach university: eg apl and nasa space research (latsest space contribution at social projects summit yesterda) , med school and nih, Prof fishman in radiology was one of earliest pioneer partners with nvidia and steve jobs in revolution of coding pixels instead of binary without which ai would net be on the point of agentically augmenting every persons skils); there's lot of biotech and energy work connecting hopkins and the nation's 17 supercomputers half of which now warp at nvidia speed). We understand among bloomberg's 4 billion dolars funds to his alma mater, one invetsment is up to 40 bloomberg professors who both have specialist practices and connect ai deep data to this). We've rearranged cluster data from current web page https://bdp.jhu.edu/bdp-clusters/ 

.AI-X   There is a revolution underway in science, engineering, medicine, and public health, accelerated by a rapidly growing constellation of technologies that are built on machine learning and data science. The AI-X Cluster will build on the intersection of data science, machine learning, and the deep domain expertise at Johns Hopkins to develop scalable AI systems that will drive discovery, decision-making, and prediction in science, engineering, medicine, and public health. Lead faculty  Brian Caffo Prof Biostatistics Research Interests Neuroimaging Statistical methodology Data science Open education  He was the recipient the Presidential Early Career Award for Scientist and Engineers, the highest award given by the US government for early career researchers in STEM fields. He co-created and co-directs the SMART (www.smart-stats.org) group focusing on statistical methodology for biological signals. He also co-created and co-directs the Data Science Specialization, a popular MOOC mini degree on data analysis and computing having over three million enrollments. Dr. Caffo is the director of the graduate programs in Biostatistics, a member of the Johns Hopkins Data Science and AI Institute, and is the recipient of the Golden Apple teaching award and AMTRA mentoring awards. Data Science for AI in Healthcare: An Online Course  2020 Natalia Trayanova Research Interests: Computational cardiology, machine learning in cardiology, arrhythmia therapies Lab Website: Computational Cardiology Laboratory Publications: From Google Scholar / From Pub Med Berrak Sisman is an assistant professor in the Department of Electrical and Computer Engineering, and a member of the AI-X Bloomberg Distinguished Professorship. She is a member of JHU Center for Language and Speech Processing and the JHU Data Science and AI Institute. She is the Director of the Smile Lab at JHU. She is internationally recognized for her contributions to deep learning, speech synthesis, voice conversion and expressive speech modeling. She is also interested in medical applications of speech and language as well as deepfake detection and anti-spoofing. Sisman received her PhD from the National University of Singapore, advised by Haizhou Li, with visiting research appointments at the University of Edinburgh and the Nara Institute of Science and Technology (NAIST, Japan). Berrak Sisman

Upd Aug 2025 Kershia Pollack Porter leads an organization that includes over 900 full-time faculty, a full-time staff of more than 1,400, and more than 3,100 students from 88 nations bdp cluster Advancing Racial Equity in Health, Housing, and Education The Advancing Racial Equity in Health, Housing, and Education Cluster will make Johns Hopkins the world leader in solution-focused practices and policies to promote racial justice in health, housing, and education (HHE) for young people. The team will have expertise in achieving racial justice in HHE, facilitating an advance towards development beyond problem identification, and testing of promising practices and translating these into policy solutions at scale.. Odis Johnson Jr. Tamar Mendelson Ebony McGee Nicholas Meyerson x Artificial Intelligence and Society Anton Dahbura  Executive Director of the Johns Hopkins University Information Security Institute and Co-Director of the Johns Hopkins Institute for Assured Autonomy Lingxin Hao Debra Mathews I-Jeng Wang

. Brain Resilience Across the Lifespan New discoveries in brain sciences have created unprecedented opportunities to develop strategies to enhance and preserve brain function. This cluster will bridge critical technical and knowledge gaps at Johns Hopkins University, nucleating the formation of strategic groups to study brain resilience across the entire human lifespan.  Richard Huganir Patricia Janak Genevieve Stein-O’Brien Cluster scholar backgrounds may include: Neuroengineering: Develop tools to better measure and manipulate brain function Mechanisms of Brain Plasticity: Discover the basic mechanisms of brain plasticity that underlie cognition and cognitive resilience Development of Cognition: Study the development of cognition and how stress and the environment impact cognition Critical Periods of Plasticity: Discover the mechanisms that define critical periods of learning across the lifespan Genetics of Cognition: Discover the genes that effect cognitive development and how mutations in these genes impact cognition Aging and Cognition: Study the impact of aging on cognitive decline and cognitive resilience

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