Department of Statistics Fall 2020 Newsletter
I’m writing this missive during Thanksgiving week so it seems appropriate to begin with a huge round of thanks to our wonderful staff, students, and faculty: You have kept this department running smoothly during what has been a difficult and strange period for all of us. Thank you! In spite of the demands placed on so many members of the department, we have somehow navigated the COVID-19 world quite well over the past nine months. The coming months are likely to be even more challenging for us and the world at large, but perhaps hope in the form of newly developed vaccines will help carry us through the cold winter months. With any luck, the fall 2021 newsletter will be our first post COVID pandemic newsletter.
During this past year we have been reminded repeatedly how statistics has a major role to play in understanding and solving many of the central challenges of our times, including three of the challenges that are front and center in 2020 — infectious diseases, policing, and the impact of climate change. The importance of specialized knowledge also emphasizes the importance of interdisciplinary collaborations between statisticians and domain scientists. In fact, we have faculty and graduate students at Penn State Statistics working on these very subjects in close collaboration with scientists from across the university. In this newsletter you will find a summary of several COVID-19 related research projects involving Penn State Statistics faculty and students. Of course, our department also boasts researchers working on a wide range of other important areas, from theory for high-dimensional and complex data problems, to problems in genetics, neuroscience, and social science; we plan to showcase more of our research in future newsletters and our website.
I am delighted to welcome several outstanding new staff and faculty to our department this year. Our new research faculty bring exciting strengths to our department, for instance in the areas of neuroscience and imaging, statistical methods for understanding the structure and function of proteins, methods for studying the genetic basis of complex traits, as well as landscape ecology and statistical computing, and statistical methods for spatial data. This year we also had to bid farewell to two of our long-time and renowned faculty members, Michael Akritas and Dennis Lin. Their retirement in July is a big loss for the department. It is a loss for me personally as they have been supportive colleagues and good friends — I will miss Dennis’ sense of humor at faculty meetings and his hospitality at his wonderful parties (with interesting Chinese liquors) at his home, and I will miss chatting with Michael regularly on the 4th floor of Thomas Building, as well as at the tennis center. Please join me in wishing them well on their new adventures. You can read more about the new members of our department as well as Michael and Dennis below.
An important role of this newsletter is to help us all to stay in touch. We have a great community both at University Park and across the world, with an extensive alumni network. You will find alumni updates in this edition of the newsletter. Please consider submitting your own update in future newsletters — it does not have to be about a major life event, it could simply be an update on where you are and what you are up to. We would love to hear from you!
With warm wishes for the holiday season and a safe and peaceful 2021.
Murali Haran
University Park, Pennsylvania
November 28, 2020
Statistics Educators Honor C.R. Rao Centenary
“C.R. Rao’s research contributions are so foundational to statistics that terms like the Cramer-Rao Lower Bound and Rao Blackwellization are familiar to everyone who has taken an introductory course in mathematical statistics,” said Murali Haran, professor and head of the Department of Statistics. “His work shaped the directions for the field of statistics in the 20th century and continues to be relevant today. Having one of the giants in the field in the Department of Statistics at Penn State raised the profile of our department and attracted outstanding scholars and students to Penn State on a regular basis.”
Rao served as a faculty member at Penn State from 1988 to 2001 and became an Emeritus Holder of the Eberly Family Chair in Statistics in 2009. He is the founding director of Penn State’s Center for Multivariate Statistics. And every other year, the statistics department honors an outstanding statistician in his name with the C. R. Rao and Bhargavi Prize.
New Faculty
The Department of Statistics welcomed six new faculty in Fall 2020.
Join us in giving them a warm welcome to Penn State!
Stephen Berg
Stephen Berg joined the department in the fall of 2020 as an assistant professor of Statistics. He received his PhD in Statistics from the University of Wisconsin-Madison in 2020. Berg works to develop statistical tools for data with spatial and temporal dependencies, particularly of the kind arising in environmental data. His research areas include simulation based inference (especially Markov chain Monte Carlo and stochastic approximation methods), modeling in landscape ecology and for wildlife disease, and numerical optimization.
John Hughes
John Hughes joined the department in the fall of 2020 as an associate research professor. Hughes received his PhD in statistics from Penn State in 2011. He received his MS in computer science from Frostburg State University in 2002, and his BS in mathematics and computer science from the same in 1995. Hughes' methodological research focuses on models for dependent data (especially high-dimensional data such as spatial and spatiotemporal data), statistical computing, and Bayesian methods. His interdisciplinary collaborations have spanned a number of fields, including environmental and occupational health, bioimaging, and the spatial epidemiology of HPV-related cancers.
Nicole Lazar
Nicole Lazar joined the department in the fall of 2020 as professor of Statistics. She received her PhD in Statistics from the University of Chicago in 1996. Her research interests include the foundations of statistical inference and the analysis of functional neuroimaging data. She has done pioneering work on the statistical analysis of cognitive neuroscience data, and is the author of the book “The Statistical Analysis of Functional MRI Data” published by Springer. Most recently, Lazar has been involved in the application of topological data analysis methods to scientific questions of interest in psychology and climatology. These techniques are at the interface of statistics, mathematics, and computer science, and exemplify her cross-disciplinary approach to research.
Mauricio Nascimento
Mauricio Nascimento joined the department in the fall of 2020 as an assistant teaching professor of Statistics. He received his PhD in Statistics from The Pennsylvania State University in 2020. Nascimento studied the spatial relationship between multivariate extremes using a combination of semi-parametric spectral density and Gaussian process. He also proposed a faster approximation for high-dimensional Gaussian cumulative distribution.
Hyebin Song
Hyebin Song joined the department in the fall of 2020 as an assistant professor of Statistics. She received her PhD in Statistics from the University of Wisconsin-Madison in 2020. Her research interests focus on developing methods to overcome statistical and computational challenges in modern data sets, which are often complex, large-scale, and high-dimensional. She is especially interested in developing statistical techniques to help improve our understanding of biological structures from data. Song has previously worked in the central bank of Korea as a statistician.
Xiang Zhu
Xiang Zhu joined the department in the fall of 2020 as an assistant professor of Statistics at Penn State. He received his PhD in Statistics from The University of Chicago in 2017. His research focuses on developing new statistical methodology to mine large-scale genetic and genomic data. Zhu was a Stein Fellow at Stanford University in 2017-2020. He is also a biostatistician (without compensation) at the U.S. Department of Veterans Affairs Palo Alto Health Care System since 2018.
New Lindsay Assistant Professor
Carlos Soto
Carlos J. Soto is our new 2020 Lindsay Assistant Professor. The Lindsay Visiting Assistant Professor Program was created in 2015 to honor Professor Bruce Lindsay, a leading statistician, mentor and a long-time faculty member of Penn State Statistics. Soto received his PhD in Biostatistics from Florida State University in 2020. He received his MS in Mathematics from University of Wisconsin – Milwaukee in 2015, and an AB in Mathematics from Ripon College in 2011. He joined Penn State as a visiting assistant professor in 2020. Soto’s PhD thesis was on structural data analysis of chromosomes and proteins. He is now working on extending elastic shape analysis tools into the differential privacy framework with Aleksandra Slavkovic and Matthew Reimherr in the Department of Statistics.
New Staff
Nimisha Thakur
Nimisha Thakur joined the Department of Statistics at the beginning of Fall 2020 semester as an Undergraduate Academic Advisor. She manages undergraduate advising for students majoring or minoring in Statistics, as well as Data Sciences with the Statistical Modeling option.
Nimisha brings a decade of experience working with students at Penn State. Prior to starting her position in the department, she has served in different advising roles at the University- Education Abroad, College of the Liberal Arts and Office of Science Engagement. Nimisha is passionate about working with students, helping them find meaning in their academic journey at Penn State by combining their goals, passions and interests.
Retirements
Michael Akritas
Michael Akritas retired this June, having spent 35 years at Penn State Statistics. In addition to being recognized worldwide for his major contributions to statistics, particularly in the areas of nonparametric statistics and experimental design, Michael has had a major impact on the profession through his students – he advised 25 PhD students who have gone on to great success in academia and industry. Michael has also been a dedicated teacher. Numerous PhD students have taken core theory courses with Michael over the years. He has also taught a large number of undergraduates, and authored a textbook for an undergraduate course targeted at engineering students. After retirement, Michael continues to live in State College at least in the near-term, so we hope to see him back on campus after the pandemic.
Dennis Kon-Jin Lin
Dennis Lin retired this summer after 25 years at Penn State. After spending many years in the Smeal College of Business, with appointments also in Industrial Engineering and Statistics, he became a full member of Penn State Statistics in 2009; he was a University Distinguished Professor both in the College of Business as well as in Statistics. Dennis is recognized internationally for his research in design of experiments, quality assurance, response surface methods, and supply chain management. The large number of prestigious international awards he receives every year is only exceeded by the enormous number of talks he gives around the world — he is a very popular and entertaining speaker! He has graduated numerous PhD students and MS students over the years, both at Penn State and through international collaborations. After retirement, Dennis took over this summer as the new chair of the Department of Statistics at Purdue University in Indiana. Happily, he says that he plans to stay in touch with his old friends at Penn State in the years to come!
Alumni Highlights
John Leicht (MAS, ’20)
John Leicht, who received a master’s degree in applied statistics in spring 2020 and completed a graduate assistantship with the Institute for Computational and Data Sciences, is now providing supercomputing support at the National Renewable Energy Laboratory in Golden, Colorado. Read the full story on news.psu.edu.
Kayne Milhomme (MAS, ’20)
As an intrinsically creative person who also endeavors to practice data analysis as a profession, Kayne Milhomme has strived over the course of his career to pair these two aspirations. Until recently, this path proved frustratingly elusive, leading him first into solely technical roles with little creative outlet and then into senior management positions that lacked the technical depth he was seeking. But two important events changed that trajectory for him.
First was the realization that in order to successfully apply his creative nature to an analytics role, he needed to better understand the mechanisms behind the statistical models. Without access to this advanced knowledge, his creative input was stifled by surface-level familiarity.
The second event, and most critical, was earning his MAS from Penn State. “The breadth and depth of information covered in the program provided exactly what I needed—a strong foundation to tackle innumerable real-world statistical challenges, many of which also require new, creative approaches as the world of data analytics continues to evolve,” said Kayne. The result was immediate, changing positions from senior management to senior analytics and having doors open to new and challenging analytics opportunities across disciplines, including research and development, engineering, marketing and sales. Kayne concluded, “and the opportunities continue to grow as the field of data analytics expands, all of which I would have missed without the benefit of the MAS from Penn State.”
Angela Ting (BS, ’20)
Angela Ting graduated in May 2020 with a Bachelor of Science in Statistics and Mathematics.
During her time at Penn State, she worked with Associate Professor Qunhua Li in developing and evaluating machine learning methods for genome editing outcomes as well as recovering valuable information structure from missing data. Her honors thesis was titled, “Predicting CRISPR-Cas9 Genome Editing Outcomes with Machine Learning Methods.” She also worked with Professor Dennis Pearl in creating web applications using R to estimate, model, and visualize statistical data.
Her favorite statistics course at Penn State was STAT 416 (Stochastic Processes). She says, “The course definitely gave me a strong foundation to explore and appreciate the extent of which randomness manifests itself in the systems and phenomena we encounter in our everyday lives.”
Angela is currently a first-year PhD student in Statistics at the University of Texas at Austin. She attributes her growth to all of the professors who have offered her guidance and wisdom as well as her friends and family who have supported and encouraged her throughout her educational journey.
Anna Zhang (BS, ’20)
Department of Statistics Alumna, Yinqi (Anna) Zhang, graduated with a Bachelor of Science in Statistics with minors in Mathematics and Psychology in May 2020.
While at Penn State, Zhang worked with Associate Professor Lingzhou Xue on Clustering of Bipartite Network, developing methodology and algorithms to cluster dynamic bipartite networks based on existing literature. She also worked with Professor Dennis Pearl, Research Professor of Statistics, writing Shiny apps to teach Statistics.
Zhang said, “During my four years at Penn State, I have had the honor to get involved in research with two different professors, which gave me a solid theoretical foundation and confidence to conduct research in Social Science and bring insights from a quantitative perspective.”
Zhang is currently a first-year Ph.D. student in Educational Psychology at Penn State. She credits much of her growth in statistics to Professor Murali Haran’s teaching and mentorship.
“I took Dr. Haran’s STAT 380 (Data Science Through Statistical Reasoning and Computation) during my sophomore year. Dr. Haran put a lot of effort into teaching and was always willing to help when students struggled to learn course materials. He encouraged us to reach out to him even after class and gave me advice when I was looking for an honors supervisor for my undergraduate thesis. He also helped me write reference letters for graduate school applications. I will always be grateful for his academic advice and will do the same for my future students.”
Alumni Updates
Elena Hadjicosta (PhD in Statistics, 2019; advisor: Dr. Donald Richards): Since graduation, I joined the University College London (UCL) as a Postdoctoral Research Fellow in medical statistics. Recently, I moved back to my home country, Cyprus. I now work as a Biostatistician at ClinBAY, the first Contract Research Organization (CRO) in Cyprus. Specifically, I provide statistical support to several pharmaceutical industries worldwide in designing and analyzing clinical trials.
Eftychia Solea (PhD in Statistics, 2017; advisor: Dr. Bing Li): After I graduated from Penn State in 2017, I worked as a postdoctoral researcher in statistics at the University of Cyprus and Ruhr University of Bochum in Germany. Currently, I am an assistant professor of Statistics at Crest-Ensai in Rennes, France. I am interested in investigating problems at the interface of machine learning and functional data analysis such as graphical modeling for functional data.
Lan Wang (PhD in Statistics, 2003; advisor: Dr. Michael Akritas): After being a professor at the School of Statistics, University of Minnesota for many years, I have recently moved to the Department of Management Science, Miami Herbert Business School, University of Miami. My family and I have enjoyed our first snow-free winter and being close to the ocean. I would like to send my best regards to the department and wish everyone to stay healthy and well.
Undergraduate News
Undergraduate Research Highlights
Diana Aguilar (senior, Mathematics with a minor in Applied Statistics) and Owen Finkbeiner (junior, Data Science and Applied statistics double major) have been working with Assistant Professor Helen Greatrex on the geostatistical validation of satellite rainfall estimates over Ghana.
David Chen (senior, Statistics), Xinyi Yang (senior, Statistics), Qianyi Zhao (senior, Statistics) and Zhiyang Liang (junior, Statistics) are working with Associate Professors Le Bao and Maggie Niu to estimate sizes of HIV key populations (people who are most at risk for contracting HIV) in Sub-Saharan Africa. Chen co-authored a manuscript accepted by the Annals of Epidemiology.
Yiyun (Yvonne) Gong (senior, Statistics) is also working with Thomas Schaeffer (junior, Data Science major) and Professor Sy-Miin Chow (College of Health and Human Development) on the application of control theory models to optimize the use of educational resources in statistics and data science training.
Rasheedat Ekiyoyo (sophomore, Biomedical Engineering) and Delián Colón-Burgos (sophomore, Meteorology and Atmospheric Science) have been working with Assistant Professor Helen Greatrex (joint faculty appointment between Statistics and Geography) on the relationship between the weather and diseases such as COVID and hydrocephalus, as part of an NIH P3H grant.
Harman Singh (senior, Geography) has been working with Professors Helen Greatrex and Trevor Birkenholtz on remotely sensed flood analysis as part of her Erickson discovery grant “The Complex Nature of flooding in Kerala: A Mixed-Method Approach.”
Giovanni Smith worked with Professor David Hunter on testing the reproducibility of neural networks and checking an MNIST-trained network performance on a newly collected dataset as part of PSU summer research opportunity (SROP).
Shunqi (Johnson) Zhang (senior, Statistics) and Yiyun (Yvonne) Gong (senior, Statistics) are working with Professors Dennis Pearl, Matt Beckman, and Neil Hatfield on the application of Bayesian Network models for analyzing learning outcomes & trajectories based on logfiles produced when students use educational software.
Tingting Zheng (senior, Statistics/Economics (UMNR)) and Alon Sidel, (senior, Meteorology & Atmospheric Science, with minors in History and Japanese) have been working with Assistant Professor Helen Greatrex on developing tailored weather statistics for the humanitarian sector in Somalia.
Undergraduate Honors and Awards
Anna Zhang and Jeffery Cao were honored as student marshals for the Department of Statistics during Penn State’s virtual spring commencement ceremonies on Saturday, May 9. Anna Zhang graduated in the summer with a 3.96 grade point average and a bachelor’s degree in Statistics. Cao graduated with a 3.95 grade point average and a bachelor’s degree in Data Science Statistical Modeling Option/Computer Science. Read more >>
Graduate News
Grad Cup 2019
Last year, a team of graduate students in the statistics department calling itself Team Statistics won Grad Cup 2019, competing against approximately a dozen teams made up of graduate and professional students from multiple departments here at Penn State. Team Statistics excelled in a variety of physical and mental challenges, including relay races, puzzles, and really large tic-tac-toe. This year, Team Statistics is setting out to defend its title virtually and improve our health and mental well-being against 18 other graduate student teams from different departments. Currently one week into this multi-week challenge, Team Statistics stands in first place!
From left to right: (front) Vince Pisztora, Sarah Shy, Zhaoxue Tong; (back) Omar Hagrass, Jordan Awan, Carlo Mazzoleni, Alex Zhao.
Graduate Honors and Awards
Claire Kelling (PhD student, advisor: Murali Haran) was awarded a 2020 Graduate Research Fellowship from the National Institute of Justice for her dissertation research titled Advances in Spatial Statistical Methodology for Urban Crime. She is one of 26 fellows nationwide, and the only one in statistics.
Kelling is using statistics to solve societal problems by helping communities see the power in their data. Kelling is applying statistical models to public datasets from the U.S. Census Bureau and police data to characterize social relationships between communities and their effect on crime and other outcomes. Read more >>
Ana Kenney (PhD student, advisors: Francesca Chiaromonte and Matthew Reimherr) is one of the collaborators to the INSIGHT study – Intervention Nurses Start Infants Growing on Healthy Trajectories. This is an example of several exciting interdisciplinary collaborations between the statistical and biomedical fields at Penn State. Together with Francesca Chiaromonte, Matthew Reimherr, and Kateryna Makova, Kenney is creating new models to analyze and predict obesity in children. Read more >>
Penn State Statistics and COVID-19 Research
Local and national collaborations develop broad understanding of the impact of the COVID virus
Associate Professors Le Bao and Maggie (Xiaoyue) Niu and PhD student Ying Zhang have published a paper discussing how traveler case reports could aid in a timely detection of a disease outbreak.
“Rapid detection of a disease outbreak is crucial for government intervention and raising public awareness,” says Bao. “The traveler case reports data seems to be a good addition to the domestic surveillance data by utilizing the diagnosis resources from all countries. We advocate that countries should work in a collaborative way, by sharing the traveler patient’s information about the travel dates and more detailed travel history at sub-national level, in a timely manner. Working together, we would strengthen the global infectious disease surveillance system, which is especially important in detecting disease outbreaks in countries where public health infrastructure is rudimentary or nonexistent.”
The paper, titled What Can We Learn from the Travelers Data in Detecting Disease Outbreaks — A Case Study of the COVID-19 Epidemic, was published here.
Professor Francesca Chiaromonte (Dorothy Foehr Huck and J. Lloyd Huck Chair in Statistics for the Life Sciences), Tobia Boschi (PhD student, Statistics), and Marzia Cremona (affiliated faculty, Université Laval, Canada), with two collaborators from the Sant’Anna School of Advanced Studies in Italy — postdoc Jacopo Di Iorio and MS student Lorenzo Testa — used functional data analysis techniques to characterize the COVID-19 epidemics in Italy between February and May 2020. Using established methods and novel tools developed, the group was able to the two starkly different epidemic patterns in northern and southern Italy, and to relate mortality to mobility, positivity, and a number of socio-economic, demographic, and environmental covariates (e.g. primary care, contacts in hospitals, schools and workplaces, etc.)
The study, titled The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy can be found here.
In the fall 2019 semester, Dave Hunter, professor of statistics, spoke to a crowd at a data science community meeting. Credit: Geoffrey King, Penn State TLT
Moderator: Esra Kurum (University of California, Riverside, Penn State PhD ’12)
Speakers: John Haubrick (Penn State University), Kristin Lynn Sainani (Stanford University) and
Melinda Clardy (South Louisiana Community College).
Qunhua Li (left) with students Claire Jin, Tori Sodeinde, and Jessica Zhang, mentor Kiana Mohajeri and astronaut Serena Auñón-Chancellor.
Professor Aleksandra Slavkovic has co-edited a special issue of CHANCE magazine on privacy and data.
This special issue discusses the importance of data privacy, the role of statistics with lots of examples and features the work of a new generation of statisticians tackling data privacy, including a number of Penn State Statistics Department’s former and current students, postdocs and faculty.
Promotions
Tracey Hammel and Megan Romer were promoted to Associate Teaching Professor of Statistics effective July 1, 2020.
Staff News
2019 Eberly Staff Excellence Award
Val Kelley has been awarded the 2020 Eberly Staff Excellence Award for her outstanding contributions to the department. The Staff Excellence Award recognizes a staff member who demonstrates integrity, respect, and excellence in all aspects of their position.
Department Head Murali Haran said: “Val joined the department over a decade ago and has been the administrative coordinator under three department heads. We had only a few months working with many new staff
members before we went into remote working mode in March 2020. We also
had to simultaneously deal with major changes to Penn State administrative systems. Without Val coordinating work with the staff, keeping in touch with them, providing them support, even texting with them daily to check in, our department would not have functioned as smoothly as it has this year. Many thanks and congratulations to Val!”
Personal Corner
Katie Holt left the department in the summer of 2020 to join the faculty at UW Steven’s Point. Katie was the first full-time academic advisor for our department and did an exceptional job serving our rapidly growing statistics and data science programs.
Academic Year 2019-2020 PhD Graduates
Thesis Title: Statistical Network Modeling and its applications in Complex Large-Scale Systems
Advisor: Lingzhou Xue
First Job: Data Scientist, eBay
Jordan Awan, PhD
Thesis Title: Optimizing Finite Sample Performance of Differential Privacy
Advisor: Aleksandra Slavkovic and Matthew Reimherr
First Job: Assistant Professor, Purdue University
Kyongwon Kim, PhD
Thesis Title: On Application of Sufficient Dimension Reduction
Advisor: Bing Li
First Job: Assistant Professor, Wake Forest University
Seiyon (Ben) Lee, PhD
Thesis Title: Computational Methods for Hierarchical Spatial Models and Ice Sheet Model Calibration
Advisor: Murali Haran
First Job: Assistant Professor, George Mason University
Mengyan Li, PhD
Thesis Title: Statistical Inference with Corrupted Data
Advisor: Yanyuan Ma and Runze Li
First Job: Assistant Professor, Bentley University
Mauricio Nascimento, PhD
Thesis Title: Statistical Methods for Spatial and Multivariate Spatial Extreme Values
Advisor: Benjamin Shaby
First Job: Assistant Teaching Professor, Penn State
Jacob Parsons, PhD
Thesis Title: The Integration and Evaluation of Multiple Data Sources
Advisor: Le Bao and Xiaoyue Niu
First Job: Research Statistician, GlaxoSmithKline
Jiawei Wen, PhD
Thesis Title: Multi-block ADMM Algorithms for High-Dimensional Sparse Estimation
Advisor: Runze Li and Xingyuan Fang
First Job: Research Scientist, Facebook
Likun Zhang, PhD
Thesis Title: Hierarchical Scale Mixtures for Flexible Spatial Modeling
Advisor: Benjamin Shaby
First Job: Postdoctoral Scholar, Lawrence Berkeley National Laboratory
Academic Year 2019-2020 MAS Graduates
Joseph Abraham
Di Chen
Jialin Chen
Brian Healy
Linying Ji
John Leicht
Jesse Ofsowitz
Hui Mao
Terry Morris
Yuxia Ouyang
Chuyue Xie
Danna Zhao
Academic Year 2019-2020 BS Graduates
Alex Chen
Alexandra Mccormack
Amanda Shuter
Angela Ting
Aoshu Zhang
Arjun Blum
Austin Gongora
Avik Sarker
Brenden Sosnader
Brian Dailey
Bryan Arpino
Chaoyi Zhu
Chenya Zhao
Chuzhen Wang
Claudia Ho
Clotilde Henry
Conger Wang
Daniel Fariss
Daniel Stauffer
Daniel Walker
Dylan Shoemaker
Eric D’Arcy
Eunseo Ji
Fangfei Lu
Feng Ding
Hai Huang
Heming Liu
Hexi Pan
Hyunsoo Kim
Iffah Mohamad Saufi
Ishan Muzumdar
James Forbes
Jared D’Antonio
Jiansen Huang
Jiarong Ye
Jiayu Luo
Jingjun Wang
Joseph Abraham
Joshua Bartlett
Juliette Van Schaik
Kathryn Hogue
Kexin Sun
Kody Allen
Lu Huang
Luciano Legaspi
Luxin Wang
Madison Rhine
Mallory Beard
Marina Mautner Wizentier
Matthew Oberholzer
Maxwell Miller
Mayting Feng
Michael Oppman
Muhamad Fadli
Navjit Singh
Nicholas Zuchelli
Nurlisa Binti
Qiaoying Chen
Rebecca Hobman
Rebekah Thompson
Riley Poskitt
Rohit Gangupantulu
Ruiqi Shi
Ruisi Wang
Ryan Simpson
Saimun Shahee
Sashank Baratam
Sayre Bradley
Seth Johnson
Shannon Cikowski
Shawn Rodicks
Shelby Krenn
Shubo Sun
Shuqi Qin
Sisi Hu
Siyi Ma
Steven Fontanella
Syarina Huda Aminondin
Taras Guanowsky
Thomas Martin
Thomas Mcintyre
Thomas Williams
Tianhao Wang
Tiankai Xie
Tingying Lu
Tresa Gundermann
Weilun Zhang
Weiye Dong
Wenjie Cai
Xi Li
Xiaopeng Zhu
Xijia Luo
Xuanrui Zhang
Xueyang Li
Xuqi Chen
Yan Jung
Yang Gao
Yichi Zhang
Yihan Lu
Yilin Wang
Yiling Chen
Yiming Gu
Ying Chen
Yinqi Zhang
Yiyang Wang
Yizhang Li
Yonggi Jung
Yu Chen
Yunshu Zhang
Yunuo Tian
Yuqing Lei
Yutong Wu
Yuxuan Wang
Zhengyan Yuan
Zhengyang Shan
Zhengyuan Xu
Zhiliang Zhang
Zhirui Luo
Zhiruo Wang
Zhongyan Hua
Zhuohan Wang
Zhuoyan Xie
Zihan Zhang
Ziming Wang
Zinuo Jia
Ziqing Xu
Ziyan Wang
Alex Chen
Andrew Casey
Austin Gongora
Benjamin Wortman
Chaoyi Zhu
Cong Ma
Hai Huang
Hunter Dicicco
Jeffery Cao
Jiarong Ye
John Haser
Kuai Yu
Lily Magliente
Marshall Malino
Perry Tsang
Sameer Sapre
Sean Klavans
Yang Gao
Yuanliu Wanghan
How to donate
All of you play a vital role in supporting college initiatives and programs. WE ARE a community of 57,000+, and you are one of us.
Get involved
Credits
If you have any corrections or additions for this issue, or items for the next issue, please email Alice Chersoni ajc7483@psu.edu
STATNEWS is published by PENN STATE DEPARTMENT OF STATISTICS, 326 Thomas Building, University Park, PA 16802–2111. This publication is available in alternative media on request. The Pennsylvania State University is committed to the policy that all persons shall have equal access to programs, facilities, admission, and employment without regard to personal characteristics not related to ability, performance, or qualifications as determined by University policy or by state or federal authorities. It is the policy of the University to maintain an academic and work environment free of discrimination, including harassment. The Pennsylvania State University prohibits discrimination and harassment against any person because of age, ancestry, color, disability or handicap, national origin, race, religious creed, sex, sexual orientation, gender identity, or veteran status. Discrimination or harassment against faculty, staff, or students will not be tolerated at The Pennsylvania State University. Direct all inquiries regarding the nondiscrimination policy to the Affirmative Action Director, The Pennsylvania State University, 328 Boucke Building, University Park, PA 16802-5901; Tel 814-865-4700/V, 814-863- 1150/TTY. Produced by the Penn State Department of Statistics.