As part of his Grand Challenges project, Yanir Rubinstein will transport his sports analytics lab to local schools and show students the relevance of STEM to their everyday lives. 

This summer, University of Maryland Mathematics Professor Yanir Rubinstein has big plans in the classroom and on the basketball court.

Rubinstein’s plans began to take shape in February 2023 when he received an award from UMD’s Grand Challenges Grant Program, an institution-wide initiative that provides funding for researchers to tackle major societal issues.  

Rubinstein will use his award funding to address educational disparities in science, technology, engineering and mathematics (STEM). Rubinstein’s approach is simple and even a little unconventional. He plans to help bridge the educational gap by bringing math directly to students traditionally underrepresented in STEM, particularly minorities and women—not through textbooks or lectures, but in the form of sports analytics and experiential learning. 

According to Rubinstein, the idea sprouted from his own passion for sports as an amateur basketball player and sports writer.

“I’m a teacher, so I’m constantly looking for ways to engage students and retain their interest in math,” Rubinstein explained. “And personally, I’ve always been drawn to sports. I played basketball for years and I continue to write about sports even now. I realized that this could be a good way to have students connect math with something they’re already passionate about. Because of this, pairing math and sports just clicked for me.”

A mobile math lab

Although he is primarily a pure mathematician who focuses on more abstract ideas, Rubinstein knew that his desire to directly address societal needs with his skills meant that he would have to investigate more applied forms of mathematics. To prepare for his Grand Challenges project, Rubinstein talked extensively to people in the sports industry to find out how his research could help address their problems and improve overall athletic performance. He quickly realized that his background in optimization had the potential to be immensely helpful in the world of sports.

“We can optimize the way someone throws a baseball after seeing what happens when they move their shoulder or hand,” Rubinstein said. “We can classify these movements using math models and get some insights into how they can improve their performance. And with data we capture through cameras, we can ask—is there a better way of throwing the baseball? Is there a way to position their shoulder or hand to make that perfect throw?”

For his Grand Challenges project, Rubinstein will begin by creating a mobile version of his existing math sports performance research lab. To do that, he plans to scale down his lab’s resources by assembling smaller sets of motion capture tools such as cameras and laptops to transport to local schools. With this portable adaptation of his lab, students will have the opportunity to interact with state-of-the-art software and equipment developed by Rubinstein while learning about sports performance analytics in a hands-on way. Rubinstein also intends to pair the technological features of his lab with a series of bimonthly experiential learning experiences that will help put context behind the numbers and hone the students’ analysis skills. Students will be able to access both the lab and its equipment, as well as the extracurricular course, after their normal school hours. 

“The math part of this project involves looking at the relationships between geometry, data and human movement,” Rubinstein said. “The outreach component aims to connect those points to things that high school students can find relatable to their everyday lives—in this case, sports and athletics.”

By partnering and collaborating with local schools and teachers, Rubinstein plans to design a curriculum that showcases the potential real-world applications of math in sports while remaining accessible to students who are relatively unfamiliar or uncomfortable with STEM. He believes this type of early exposure and introduction to STEM will make the subjects less intimidating and could change any pre-existing stereotypes students may have had of math or people who pursue math. 

Ultimately, Rubinstein hopes that the mobile math lab and its accompanying course will reach students who are traditionally underrepresented in STEM and inspire them to pursue careers in those fields. 

“Applying math to sports will obviously attract student-athletes who want to eventually reach a professional level when they grow up, but we also want to attract students who may not become athletes yet still want to contribute to something they’re passionate about,” Rubinstein said. “Skills like geometrical reasoning, data analysis and a basic understanding of quantitative concepts will be crucial in many career paths.”

Planning for the future

The Grand Challenges funding for Rubinstein’s mobile math sports lab project is expected to continue for the next three years. During that time, he hopes to gradually expand his lab to more schools in the D.C. metro area. This summer, he will begin by assembling the equipment and determining the necessary logistics. 

Rubinstein also looks forward to building a team of researchers who share his love for sports and his dedication to addressing the educational disparities in STEM. As part of his recruitment efforts, Rubinstein piloted a new course—called “Experiential Learning: Mathematics of Sports Performance Analytics”—which emphasizes the connections between mathematics, data and sports. The course has so far drawn an eclectic and very motivated audience of students in Spring 2023 and will return in Spring 2024. 

“This is an ambitious project and an amazing opportunity to give back to the communities around us, so I welcome any UMD students, faculty and staff who share my passions for sports and inclusivity in STEM to join me,” Rubinstein said. “I also can’t wait to see how the mobile sports lab will grow, thanks to all the students who will have a hand in creating something for their own futures.”

Written by Georgia Jiang

The UMD Mathematics Building on a sunny day

Read more about the members of our community who have been honored recently for their outstanding contributions to the university and the field of mathematics.

Faculty

AAAS Fellow:

Abba Gumel

Bourbaki Seminar:

Dan Cristofaro-Gardiner

CMNS Outstanding Lecturer Award:

Jonathan Fernandes

Champion of Women Award: 

Rodrigo Trevińo

Graduate Students

Ivo and Renata Babuska Endowed Student Award for Graduate Research in Mathematics:

Christopher Dock

James C. Alexander Prize for Graduate Research in Mathematics:

Jin-Peng Liu

Monroe Martin Spotlight Award:

Max Auer, Ethan Dudley

Seymour Goldberg Spotlight Award:

Michael Rozowski, Connor Lockhart

Mark E. Lachtman Award:

Jianlong Liu, Sanghoon Na, Vlasios Mastrantonis, Xiaoyu Zhou

Patrick & Marguerite Sung Fellowship in Mathematics:

Keith Mills, Xuze Zhang

Ralph P. Pass Award:

Foivos Chnaras, Qihang Li

Aziz/Osborn Gold Medal in Teaching Excellence:

Nathan Janus, Pablo Cedillos, Amandeep Chanda, Chang Chen, Foivos Chnaras, Tyler Clark, Samuel DiPasqua, Brandon Kolstoe

Hauptman Summer Research Award: 

Josue Avila Artavia, Mengzi Xie, Nathan Janus

Hauptman Summer Fellowship: 

Morgan Bryant, Qi'an Chen, Foivos Chnaras, Noah Chrein, Yong Cui, Samuel DiPasqua, Jacob Erickson, Jordan Hirsh, Canran Ji, Maia Karpovich, Dohoon Kim, Eric Kubischta, Haoran Li, Ishfaaq Mohammed Imtiyas, Turner Pepper, Mirna Pinsky, Geoffrey Sangston, Shashank Sule, Ran Tao, Efstratios Tsoukanis, Neng Wang, Melanka Wedige, Victoria Whitley

Ann G. Wylie Dissertation Fellowship:

Chenzi Jin, Shuo Yan

Summer Research Fellowship (Grad School):

AlFahad AlQadhi, Mengting Chao, Qihang Li, Vlasios Mastrantonis, Sanghoon Na, Michael Rozowski

Undergraduate Students

Outstanding Senior Award:

Leopold Bertholet                                                                                 

Higginbotham Award:

John Brownfield                                                                                

Aziz Mathematics Scholarhip:

Latka Karthik Sellakumarin                                                                                                                  

Strauss Scholarship:

Adam Melrod                                                                               

Abramowitz Award:

Ezra Aylaian, Emerson Hemley, Isaiah Hilsenrath, Saul Hilsenrath, Hugh Turner McLaurin, Matthew Simmons, Geroge Li, Sriya Potlury              

Daniel Sweet Undergraduate Research Fellowship:

David Koralov, Daniel Levy, Matthew Schneider                                 

Dan Shanks Award:           

Samuel Lidz                                                                                                    

Konter Award:

Maria Nikolaichik, Diana Shin

Strauss Teaching Assistants:

Akash Dutt, Sydney Gravel, Jacob Riddle, Matthew Tremba, Uma Tikekar, Matthew Schneider, Daniel Levy, Karthik Sellakumaran, Samuel Lidz 

Honors/High Honors:

Saul Hilsenrath, Isaiah Hilsenrath, Matthew Simmons, Saahiti Potluri, Danae Rupp

Abba Gumel Posing for Photo Against Grey Backdrop

abbagumelFour professors in the University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) were named 2022 Fellows of the American Association for the Advancement of Science (AAAS):

  • Abba Gumel
  • Mohammad Hajiaghayi
  • Wolfgang Losert
  • Dana Nau

“I join the CMNS community in congratulating Professors Gumel, Hajiaghayi, Losert and Nau on their well-deserved election as AAAS Fellows,” said CMNS Dean Amitabh Varshney. “This is an affirmation of what we already know—that they are each pushing the boundaries in their respective fields and making a significant impact on the grand challenges our society faces today.”

UMD’s 2022 Fellows, seven in total, join a class of 506 new Fellows who have moved their fields forward, paving the way for scientific advances that benefit society. They bring diverse and novelty thinking, innovative approaches and passion that will help solve the world’s most complex problems, according to AAAS’s announcement.

“AAAS is proud to elevate these standout individuals and recognize the many ways in which they’ve advanced scientific excellence, tackled complex societal challenges and pushed boundaries that will reap benefits for years to come,” Sudip S. Parikh, AAAS chief executive officer and executive publisher of the Science family of journals, said in an announcement. 

Abba Gumel joined UMD in fall 2022 as the Michael and Eugenia Brin Endowed Chair in Mathematics. He also holds joint appointments in the Department of Biology and Institute for Physical Science and Technology.  

Gumel’s research primarily involves designing, analyzing and simulating mathematical models to gain insight and understanding of the transmission dynamics and control of emerging, re-emerging and resurging infectious diseases. 

Some of his past research demonstrated the dynamics of dengue disease-carrying mosquitoes, the impact of quarantine on an Ebola outbreak and the ability of face masks to slow the spread of COVID-19. Last year, he was awarded the Bellman Prize at the Annual Meeting of the Society for Mathematical Biology for a paper on the links between malaria transmission and climate. In the coming years, one of Gumel’s top research goals is working toward the global ZERO by 40 initiative, which aims to eradicate malaria by 2040.

Over the course of his career, Gumel has written nearly 170 peer-reviewed research papers and received an array of awards and honors. In 2022, Gumel was named Fellow of the Society for Industrial and Applied Mathematics as well as the American Mathematical Society. He is also a Fellow of the African Scientific Institute, Nigerian Academy of Science and African Academy of Sciences. 

Gumel joined UMD following faculty positions at the University of Manitoba in Canada (1999-2014) and Arizona State University (2014-22). He earned his Ph.D. in mathematics from Brunel University in the United Kingdom in 1994 and his bachelor’s degree in mathematics from Bayero University in Nigeria in 1989.

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