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April 30, 2018

Highlighted Events
  

Monday, September 24, 2018

[multiple] Biostatistics Seminar
12:15 PM - 1:15 PM

Bloomberg School of Public Health

Biiostatistics Seminar "Analyzing Mutual Exclusivity of Somatic Mutations in Tumor Sequencing Studies" Jianxin Shi, PhD National Cancer Institute, Division of Epidemiology & Genetics"

Tuesday, September 25, 2018

[multiple] Autism Scientific Symposium: Marking 75 Years Since Leo Kanner First Identified Autism
2:30 PM - 5:00 PM

East Baltimore

Please join the Johns Hopkins Child and Adolescent Psychiatry Division and collaborating institutions (School of Public Health, Kennedy Krieger Institute, and Lieber Institute for Brain Development) for an afternoon of scientific inquiry in exploring the advances in research and understanding of autism after 75 years since Dr. Leo Kanner first described the syndrome.
  

Monday, April 30, 2018

SOURCE Tri-School Toiletry Drive: Mon, Apr 23 - Fri, May 4 (Multi-Day Event)
All Day

East Baltimore

SOURCE will be collecting new and unopened toiletry items on Mon, Apr 23rd through Fri, May 4th. Examples include but are not limited to: shampoo, soap, deodorant, shaving cream, razors, Q-tips, feminine hygiene products, lotion, toothpaste, toothbrushes and mouthwash. Items will be donated to a local nonprofit to assist those in need. Collection boxes will be located in JHSPH Student Lounge and Student Affairs (E1002), SON Lobby and SOM Armstrong Building Lobby. Items can also be dropped off at SOURCE – JHSPH, W1600
Seminars in Research in Biochemistry and Molecular Biology
12:00 PM - 1:00 PM

Bloomberg School of Public Health

Seminars in Research in Biochemistry and Molecular Biology
Graduate Seminar on Injury Research and Policy Home Injuries
12:10 PM - 1:20 PM

Exploring CPSC NEISS Injury Data

Tom Schroeder, Division Director
Division of Hazard and Injury Data Systems. CPSC

Jean Mah, Branch Chief
Statistical Support Branch, Division of Hazard and Injury Data Systems, CPSC

Lily Chen, Statistician Support Branch
Division of Hazard and Injury Data Systems, CPSC

For more information contact Edith Jones ejones10@jhu.edu
[multiple] Biostatistics Seminar
12:15 PM - 1:15 PM

Bloomberg School of Public Health

Biostatistics Seminar "That's not [data] science Ms. Mara Averick Tidyverse Development Advocate, RStudio, Inc.
Optimizing mental health service delivery in low- and middle-income countries
12:15 PM - 1:15 PM

Bloomberg School of Public Health

Department of International Health
Department of Mental Health

"Optimizing mental health service delivery in low- and middle-income countries: Examples from research from Pakistan" 

Dr. Sayed Usman Hamdani
Research Fellow & Deputy Director, Human Development Research Foundation (HDRF), Islamabad, Pakistan.

Biostatistics Help: Faculty, Staff, Pre-MD and Post-Doc Walk-In Clinic
1:00 PM - 2:00 PM

Biostatistics consulting is available to all Johns Hopkins University faculty, staff, pre-MDs and post-docs conducting clinical and translational research. 1:00 – 2:00 PM Wolfe Street Building Room: E3144
Camil Muscalu "The helicoidal method"
4:00 PM - 5:00 PM

Homewood

Speaker: Camil Muscalu, (Cornell) Abstract: Not long ago we discovered a new method of proving vector valued inequalities in Harmonic Analysis. With the help of it, we have been able to give complete positive answers to a number of questions that have been circulating for some time. The plan of the talk is to describe (some of) these, and to also explain how this method implies sparse domination results for various multi-linear operators and their (multiple) vector valued extensions. Joint work with Cristina BENEA.
Martina Rovelli "What features of a bundle are detected by characteristic classes?.""
4:30 PM - 5:30 PM

Homewood

Speaker: Martina Rovelli, Johns Hopkins Abstract: We propose a uniform interpretation of characteristic classes as complete obstructions to the reduction of the structure group of a principal bundle, and to the existence of an equivariant extension of a certain homomorphism defined a priori only on a single fiber. By plugging in the correct parameters, we recover several classical theorems. We then define a family of invariants for principal bundles that detect the number of group reductions associated to characteristic classes that a principal bundle admits.

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