NISS New Researchers Network

The National Institute of Statistical Sciences (NISS) is a national organization that works on issues related to information and quantitative analysis. The goal of the NISS New Researchers Network is to create connections among undergraduate and graduate students from different academic institutions and early-career professionals within the NISS Affiliates Program.

The NISS New Researchers Network fosters collaboration and support among early-career statisticians, graduate students and undergraduate students offering resources and opportunities for professional growth. Some of our activities include:

For undergraduate students, we have annual programs that will serve as a guide for future graduate programs "Undergraduate Student Guide to Grad School" and webinars and workshops can be organized around topic(s) of interest to you! In addition, we hope that this network will be beneficial throughout the student's career or academic journey even after they graduate from their programs!

For graduate students, activities are organized to help new researchers tackle challenges of graduate programs and help with their future careers. Students can share their experiences regarding their programs or an internship they did. In this network you will be able to attend events specifically geared towards graduate students that are studying statistics, biostatistics and data science.

For early-career researchers, this network provides an opportunity to connect with peers and mentors, share insights, and learn from others' experiences. We organize specialized workshops and seminars to help you navigate the transition from academia to industry or continue your research journey. Whether you are preparing for your first job, postdoctoral position, or advancing in your field, this community is designed to support you throughout your career path.

 

You will be able to network with other students and early-career professionals who will have similar experiences as you through social events, the discussion board, alumni meetings, workshops, and more! There is NO membership fee. There are plenty of opportunities open to you to actively participate in the NISS New Researchers Network, for instance helping organize activities or being an activity leader!

You can use the button link below to sign up to join the NISS New Researchers Network.

Please the contact us at officeadmin@niss.org with any questions.

Join Now!

 

 

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NISS New Researchers Network Committee Members

Executive Committee: Grad Student Leadership

Hannah Waddel
PhD Student, Biostatistics
Emory University
hannah.b.waddel@emory.edu

Manqi Cai
PhD Student, Biostatistics
University of Pittsburgh
mac538@pitt.edu

Jason B. Cho
PhD Student, Statistics and Data Science
Cornell University
bc454@cornell.edu

Sean Mulherin
PhD Student, Statistics
UCLA
smulherin519@g.ucla.edu

Georgia Smits
PhD Student, Statistics and Data Science
Cornell University
ges256@cornell.edu

 

Steering Committee: Faculty Members

Piaomu Liu
Chair, GSN Committee
Bentley University
pliu@bentley.edu

Sharmista Guha
Texas A&M University
sharmistha@tamu.edu

Y. Samuel Wang
Cornell University
ysw7@cornell.edu

Sahar Zengeneh
RTI International & University of Washington School of Public Health

 


 

About the NISS CoLab

The National Institute of Statistical Sciences (NISS), an independent non-profit research organization founded in 1990 by the ASA, IBS, IMS, the triangle universities, and others, is excited to announce the launch of the NISS Collaboratory (CoLab). This new initiative will host collaborative events and activities, bringing together NISS Affiliates and partner institutions to work on high-impact cross-disciplinary and cross-sector research. NISS identifies, seeds, catalyzes, and fosters such research in the statistical and data sciences, serving as a neutral, objective expert in delivering critical scientific and public policy research to academia, industry, and government.

CoLab aims to strengthen these efforts by enhancing collaboration and innovation across diverse fields:

Full details are available on the NISS CoLab page: https://www.niss.org/CoLab