After nearly 60 years, Jim Tonascia has retired from the Johns Hopkins Bloomberg School of Public Health. Jim has made foundational contributions across both Epidemiology and Biostatistics education and research, a true friend and contributor to both Departments. Congratulations Jim!
Johns Hopkins Department of Biostatistics
Higher Education
Baltimore, Maryland 1,114 followers
About us
With a rich history of outstanding contributions in both research and education, we are dedicated to: advancing statistical and data science, making discoveries to improve health by partnering with our colleagues in other science domains, and providing an innovative and outstanding biostatistics education for those seeking to be conversant with concepts as well as for users and experts in the application and development of new methodology. Subscribe to our quarterly e-newsletter and stay up to date on all things Johns Hopkins Biostatistics: https://mailchi.mp/jh/biostats-newsletter
- Website
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https://publichealth.jhu.edu/departments/biostatistics
External link for Johns Hopkins Department of Biostatistics
- Industry
- Higher Education
- Company size
- 51-200 employees
- Headquarters
- Baltimore, Maryland
- Type
- Privately Held
- Founded
- 1918
Locations
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Primary
615 N Wolfe St
Baltimore, Maryland 21205, US
Employees at Johns Hopkins Department of Biostatistics
Updates
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Be sure you are subscribed to our quarterly e-newsletter and stay up to date on all things Johns Hopkins Department of Biostatistics: https://lnkd.in/eJyJwBkT
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Thank you to all of the alumni, faculty, students, postdocs, and friends who joined us for our Johns Hopkins Department of Biostatistics #JSM2024 reception last Monday night in Portland. We had a great time seeing everyone! 🎉
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Congratulations to Abhirup Datta, Liz Chin, Sandipan Pramanik, and Scott Zeger 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: https://lnkd.in/eUDSXm3g
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Student Spotlight: Meet Alyssa Columbus, a second-year PhD student whose areas of focus are public health informatics and data science, including educational interventions, ethical considerations, and policy implications. Learn more about Alyssa and her experience in the Johns Hopkins Department of Biostatistics on our website: https://lnkd.in/dCcd57vx
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Congratulations Nilanjan Chatterjee, one of the winners of the GKII-KCDH Breakthrough Research Grant on Digital Health. His winning research proposal with Dr. Saket Choudhary, is titled "Development of a breast cancer risk prediction tool for the Indian population." This project, which will involve development of the first risk prediction model and clinical tool for the Indian population, will include collaboration across The Johns Hopkins University, Indian Institute of Technology Mumbai, and Tata Memorial Cancer Hospital, Mumbai.
Gupta-Klinsky India Institute at Johns Hopkins University and Koita Centre for Digital Health - KCDH (IIT Bombay) are delighted to announce the winners of the GKII-KCDH Breakthrough Research Grant on Digital Health. Winning Team #1 Dr. Emily Kendall, MD PhD and Dr. Mithun K. Moitra Research Proposal: Leveraging India’s digital surveillance system for tuberculosis to assess the effectiveness and impact of novel interventions Winning Team #2 Dr. Nilanjan Chatterjee and Dr. Saket Choudhary Research Proposal: Development of a breast cancer risk prediction tool for the Indian population We extend our heartfelt congratulations to both teams and offer our best wishes for the success of their projects.
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In celebration of National Statistics Day, Bloomberg Distinguished Professor Nilanjan Chatterjee recently gave the prestigious P.C. Mahalanobis lecture hosted by the Reserve Bank of India (RBI). Dr. Chatterjee's lecture focused on the methodology and applications for integrating different data sources to build predictive models for individualized health.
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Our Department’s summer interns Zoey Hall (who worked with Nilanjan Chatterjee and Ziqiao Wang) and Byron Hall (who worked with Sandipan Pramanik and Abhirup Datta) presented their research yesterday at the Diversity Summer Internship Program’s Research Poster Session. Zoey’s research project, “Polygenic Risk Scores as Predictor for Attention Deficit/Hyperactivity Disorder with BIPOC Communities,” investigated whether polygenic risk scores (PGS) for ADHD developed from European ancestry studies predicts the risk of ADHD in a primarily African descent cohort. Byron's research project, “R Shiny App for Correcting Verbal Autopsy Misclassification in Mortality Estimations,” involved the construction of interactive web apps with an interface to be used to accept uncalibrated verbal autopsy data and output calibrated cause specific-mortality fractions. Congratulations Zoey and Byron! 🎉 Thank you for working with us this summer!
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Alumni Spotlight: Ruthe H. received her ScM from the Johns Hopkins Department of Biostatistics in 2019 and is currently a Senior Data Scientist with Practical Intelligence, LLC, specializing in statistical modeling and data visualization. Learn more about Ruthe, her time in the Department, and her work as a data scientist, on our website: https://lnkd.in/eVGRQuQ8
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This summer Johns Hopkins Department of Biostatistics professor Brian Caffo will be hosting an informational session on artificial intelligence for congressional staffers. Read his Q&A below where he speaks about some of the key policy issues surrounding AI.
#AI has become the talk of the town in D.C., with policymakers considering how - or if - to regulate it. Brian Caffo is a professor of biostatistics at Johns Hopkins Bloomberg School of Public Health and plans to host an information session on AI for congressional staffers later this summer. He'll be joined by more The Johns Hopkins University professors in varying fields like Biostatistics, AI for speech and language, radiology, and more. Hear from him as he describes the upcoming session and some of the key policy issues surrounding machine learning in a recent Q&A: https://lnkd.in/ggy4EmTe
What policymakers should know about AI | Johns Hopkins in Washington, D.C.
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