[ds-undergrads] Fwd: 10/13 at 2-3pm ET: Join us this Friday for the Grad Student Panel: PhD & MS Students in Stats, Biostat & Data Science

[Jun Li]

Dear students,

This Graduate Student Panel will be very informative for those of you who
are thinking about applying for graduate school. The moderator of this
panel is one of our own PhD students at UCR.

Jun

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From: NISS Communications <communications at niss.org>
Date: Wed, Oct 11, 2023 at 1:49 PM
Subject: 10/13 at 2-3pm ET: Join us this Friday for the Grad Student Panel:
PhD & MS Students in Stats, Biostat & Data Science
To: <jun.li at ucr.edu>


Register now for free! This is the 2nd event in the Undergrad Student Guide
for Grad School series! Grad students will share experiences and advice.
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Attend this virtual grad student panel of PhD & MS Students in Stats,
Biostat & Data Science Degrees on Friday, October 13, 2023 at 2-3pm ET!
This is a free virtual graduate student panel for aspiring graduate
students in statistics, biostatistics and data science degrees! We
encourage current undergraduate students and others thinking about sending
in their applications soon to join. See full details on the event page here
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.

This event is the 2nd event in the Undergraduate Student Guide for Grad
School
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virtual series! Our 3rd event will be the Alumni Panel on Oct 20th at
12:30-2pm ET.

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*Overview:*

Are you an undergraduate student eager to learn more about the next steps
in your academic journey? Join us for a captivating and informative
Graduate Student Panel where accomplished graduate students from advanced
degrees in Statistics, Biostatistics, and Data Science will share their
experiences, advice, and insights to help you navigate the transition from
undergrad to graduate studies!
Register on Zoom
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*Graduate Student Panelists*
*Jericho Lawson  (Moderator)*

PhD Student in the Statistics Department at the University of California,
Riverside
*Manqi Cai*

PhD student in the Biostatistics Department at University of Pittsburgh
*Sithija Manage*

PhD Student in the Statistics Department at Cornell University
*Hannah Waddel*

PhD Student in the Biostatistics Department at Emory University
*Lauren Vanasse*

MS Student in the Biostatistics Department at Emory University
*Yanru (Ru) Ma*

MS Student in the Biostatistics Department at Emory University
*Jacob Andros *

PhD Student in the Department of Statistics at Texas A&M University in
College Station, Texas
*Sam Gailliot*

PhD Student in the Department of Statistics at Texas A&M University in
College Station, Texas
*Isha Vaish*

MS Student in the Department of Data Science at Harvard University

*Event Highlights*

*Diverse Perspectives: *Our panel consists of graduate students from MS and
PhD degrees in Statistics, Biostatistics, and Data Science. This ensures a
well-rounded discussion that caters to a wide range of interests.

*Personal Journeys: *Each graduate student panelist will take you on a
journey through their personal experiences, detailing how they chose their
graduate programs, managed the application process, and overcame challenges
along the way.

*Research and Projects: *Discover the exciting research projects and
initiatives that our panelists are currently engaged in. Learn how their
studies contribute to their fields and make a positive impact on society.

*Balancing Academics and Life: *Balancing academic pursuits with personal
life is a critical skill in graduate school. Panelists will share their
strategies for managing coursework, research, and maintaining a healthy
work-life balance.

*Q&A Session: *Have burning questions about graduate school? The event will
conclude with an engaging Q&A session, where you can direct your inquiries
to the panelists and gain valuable insights. This is your chance to ask
specific questions, seek advice, and build connections.

Whether you're intrigued by the prospect of advanced research, curious
about specialized fields of study, or simply want to understand what life
as a graduate student is like, this panel has something for everyone. Don't
miss this fantastic opportunity to gain invaluable insights and set
yourself up for success in your academic journey!

This event is free and open to all undergraduate students. Prepare to be
inspired, informed, and motivated to take your academic ambitions to the
next level. We look forward to seeing you at the Graduate Student Panel!
*About Our Graduate Students*

*Jericho Lawson *is currently a 4th year PhD student in the Statistics
Department at the University of California, Riverside. His research
interests include high-dimensional variable selection, sports statistics,
and machine learning. He is currently exploring the application of
deep-generated knockoffs for multinomial data. On top of research, he is
also committed to instructing undergraduates on general statistics, quality
improvement, and statistical computing. In his free time, Jericho enjoys
trying new food, exploring new places, and hiking.


*Manqi Cai* is a 5th-year PhD student in the Biostatistics Department at
the University of Pittsburgh. Her research is centered on creating
statistical methods for high-dimensional genomics data that consider
cell-type heterogeneity. Additionally, Manqi has contributed to
collaborative studies on Alzheimer's disease and chronic kidney disease.
She is a member of the executive committee for the NISS Graduate Student
Network. Before embarking on her PhD, she obtained her MS in Biostatistics
from Columbia University.


*Sithija Manage* is a second year Statistics PhD student at Cornell
University. His current area of interest is compositional data -
specifically tackling the issues that arise when working with microbiome
data. Sithija has a passion for teaching, is a member of the Cornell
Advanced Graduate Teaching cohort, and hopes to eventually become a
professor so that he can help students achieve their goals. He also has a
YouTube channel where he creates content about his Grad School experience!


*Hannah Waddel* is a biostatistics PhD candidate at Emory University, in
her fourth year. Her dissertation research focuses on infectious disease
modeling, particularly for swine influenza. She has also conducted
collaborative research in meta-analyses, nutrition, and cerebrovascular
diseases. Hannah serves on the executive committee for the NISS Graduate
Student Network. She received her MS in Biostatistics at Emory University
and her BS in Mathematics from the University of Utah and an MS in
Biostatistics from Emory University.


*Lauren Vanasse* is a 2nd year Master's student in biostatistics at Emory
University. Her thesis is primarily focused on using Bayesian
spatio-temporal modeling to find the relationship between transportation
vulnerability and diabetic foot ulcers in the state of Georgia. In
addition, she is collaborating on research in the exploration of a new
biomarker of cell death, circulatory pancreas-specific DNA methylation, and
its impacts on Type 2 Diabetes. Lauren received her BA in Statistics and BS
in Computational Biology from the University of Rochester. Outside of
school, Lauren enjoys baking, cooking, and hiking!


*Yanru (Ru) Ma *is a 2nd-year master's student in biostatistics at Emory
University. Her research passion lies in statistical methods for gene data.
Her ongoing research focuses on spatial transcriptomics and chromatin
accessibility. Additionally, Ru actively contributes to the Data Analytics
and Biostatistics Core team at Emory School of Medicine. Prior to embarking
on her statistical journey, Ru held an MD in Internal Medicine and
Hematology from Peking University in China, and she practiced as a
physician in her home country. In her free time, she enjoys cooking and
hiking.



*Jacob Andros *is a 2nd-year PhD student in the department of statistics at
Texas A&M University in College Station, Texas. His research focuses on
Bayesian computing, big data problems, and unsupervised learning. In
particular, he enjoys seeking out new ways to integrate uncertainty
quantification methods from Bayesian statistics into machine learning
frameworks. Most recently, Jacob has been working on a new R package that
can carry out Bayesian spatial inference in parallel for massive datasets.
He serves as a volunteer data science camp instructor during the summers
and is also teaching an introductory statistics course to life science
majors this semester. After completing a PhD, Jacob hopes to continue in
academia as a postdoc or professor. Outside of school, he enjoys watching
baseball and playing with his dog.


*Sam Gailliot* is a 4th year Statistics PhD student at Texas A&M
University. His research focuses on statistical methodology for
environmental problems. Specifically, he works on Bayesian computational
methods for massive dimensional data, scalable Gaussian process regression
on manifolds and applications of sequential analysis to climate change
attribution. In addition to graduate school, Sam is a year- round intern at
Sandia National where he works on statistical methods for multilayer
network modeling. Outside of school and work Sam enjoys playing guitar,
reading, and watching college football.



*Isha Vaish *is currently a second year Data Science MS student at Harvard
University and she will be joining Microsoft as a full time data scientist
this coming summer. She’s originally from Cary, NC and she completed her
undergraduate degree from Cornell University where she double majored in
Computer Science and Statistics. During her junior year, I fell in love
with her “Intro to Machine Learning” class and decided to pursue data
science as a career. She applied for Master’s programs to gain more
experience with machine learning and strengthen her theoretical background.
She has previous experience as a data science intern, research assistant
and teaching assistant. She is passionate about data science, especially
machine learning and artificial intelligence.
*Organizing Committee*

*NISS Academic Affiliates Committee*

   - *Piaomu Liu*, Bentley University
   - *Analisa Flores*, University of California, Riverside
   - *Wei (Vivian) Li*, University of California, Riverside
   - *Samuel Wang*,  Cornell University
   - *Sharmistha Guha*, Texas A&M University

*NISS Graduate Student Network Committee*

   - *Hannah Waddel*, Emory University
   - *Manqi Cai*, University of Pittsburgh
   - *Rebecca Kurtz-Garcia*, Smith College
   - *Piaomu Liu*, Bentley University
   - *Samuel Wang*,  Cornell University
   - *Sharmistha Guha*, Texas A&M University

Register Today!
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-- 
Jun Li
Professor of Statistics
University of California, Riverside
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