Pi Day 2026 [AI & Education]

Thursday, March 12 (10:00 AM - 5:30 PM)
Circadian, CC130
(Sponsored by OSL)

Saturday, March 14 (9:00 AM - 12:00 PM)
Circadian, CC130
(Pi Day - Math STEM Saturday, Sponsored by Natural Sciences)

Pi Day 2026 Volunteer Registration

Become a Pi Day Volunteer

This is a "For Students, By Students" event. The goal is to promote the ownership of your math learning, to encourage you to talk about mathematics, to share your joy of learning mathematics, to develop better attitudes and mindsets needed to learn mathematics, to discover ways of overcoming difficulties or anxiety in learning mathematics, to connect mathematics with real-life applications, and to celebrate and share your victories in understanding mathematical concepts.

Deadline to submit your research poster presentation: February 28, 2026

(If you need Pi Club to print your poster, you must submit it online by February 28.)

We would like to invite you to make posters to showcase your research learning and present it at the Pi Day Conference!

Activity/Demo/Games/Presentation Form

Pi Day Schedule of Events (CC 130)

10:00 AM - 11:55 AM Opening & STEM Demos

Watch live in-person in CC 130 or watch live on YouTube

• Caltech AMP
• Caltech LIGO
• PCC Astronomy & Physics Club
• PCC Artificial Intelligence and Machine Learning Club
• PCC Biology Club
• PCC Chemistry Club
• PCC Data Science Club
• PCC Decoded Brain Club
• PCC Encoded
• PCC MESA
• PCC Pi Club
• PCC She Codes Club

11:55 AM - 12:00 PM Opening Remarks

Watch live in-person in CC 130 or watch live on YouTube

• 
  Carrie Starbird, Division Dean, Mathematics - PCC

  Dean Carrie Starbird transferred from PCC to Cal Poly San Luis Obispo to earn her Bachelor's Degree in Mathematics. After completing her Master’s Degree in Applied Mathematics from Cal Poly Pomona, she began her full-time teaching career at PCC, where she taught math for over 10 years. For the past decade, Dean Starbird has led the Mathematics Division through many changes, including Covid, hiring over a quarter of the division’s new faculty, and numerous legislative changes that have impacted community college mathematics students. Currently, Dean Starbird is also the Project Director for a Title III grant aimed at improving STEM students’ completion rates.

12:00 PM - 12:55 PM Keynote - From Pi to Planets: Designing Humanity's Future in Space

Watch live in-person in CC 130 or watch live on YouTube

Space exploration is often presented as a triumph of rockets, equations, and advanced engineering, but the future of human spaceflight—over the next 20 to 100 years—will demand far more than technology alone. This keynote explores how space travel, space settlement, and planetary civilization are fundamentally human challenges that require contributions from every field of study. Drawing on examples ranging from high-altitude balloon experiments and rotating space habitats to AI-assisted lunar bases and the long-term vision of living on Mars, the talk shows how mathematical principles, physical constraints, and systems thinking shape our path beyond Earth, while also highlighting why artists are needed to visualize habitats; psychologists and medical doctors to safeguard mental and physical health; social scientists and political thinkers to design governance, cooperation, and conflict resolution; and sports and wellness specialists to keep future settlers healthy in low-gravity environments. Designed for Pi Day and a broad audience, the keynote invites students from all majors to see themselves as part of humanity’s next great journey and to recognize that the future of space belongs not to one discipline, but to all of us.

• 
  Dr. Jonathan H. Jiang, Keynote Speaker - National Academic Science Strategy Committee for Human Mars Exploration

  Jonathan H. Jiang, Ph.D. is a scientist, science strategist, and educator with more than three decades of experience spanning Earth science, planetary science, and human space exploration. A former Senior Research Scientist and Manager at NASA’s Jet Propulsion Laboratory, he contributed to multiple space missions and led research on climate processes, planetary atmospheres, and satellite remote sensing; he has also served on National Academies committees on the human exploration of Mars. Dr. Jiang is Editor-in-Chief of the Journal of Humanity’s Future in the Cosmos and founder of Beacon in the Cosmos, an educational initiative focused on preparing students for the scientific, societal, and ethical challenges of the future, and he is widely recognized for connecting rigorous science with big-picture questions about humanity’s long-term survival, creativity, and responsibility in the universe.

1:00 PM - 1:55 PM Career & Internship Panel

Watch live in-person in CC 130 or watch live on YouTube

• 
  Dr. Veronica I. Jaramillo, Dean, Natural Sciences Division (Co-Moderator) - PCC

  Dr. Veronica I. Jaramillo’s background in chemistry and mathematics, and interest in equitable education, have fostered her career in the community college. Dr. Jaramillo began her academic path at Moravian College earning a bachelor’s degrees in both mathematics and Chemistry. She then continued her studies at the University of Arizona where she earned her doctorate in Physical Chemistry. Her thesis involved the study of low temperature reaction dynamics of important chemical reactions in the stratosphere. After, Dr. Jaramillo worked at a startup company, Calhoun Vision, where she developed irradiation systems and techniques.  Then she followed her passion for teaching and has been a chemistry faculty for the last 15 years at the community college and is currently the Dean of Natural Sciences at Pasadena City College. Dr. Jaramillo has been the principal investigator on a NSF grant devoted to incorporating early research experience for community college students. She has published a chapter and papers devoted to improving Chemical Education. Dr. Jaramillo has also been dedicated to community science outreach and has been an active member of the American Chemical Society (ACS) on both the local and national level. Dr. Jaramillo was awarded the Agnes Anne Green Distinguished Service award and honored as a 2021 ACS fellow in recognition for her research, extensive work with students in science education, and her impact on diversity in the STEM workforce through work with minority and economically disadvantaged students, as well as for her excitement, enthusiasm, and innovation of chemistry outreach through her service on the ACS Committee on Community Activities and to the Southern California local section.
• 
  Michelle Thet Htar Eain, Student, Pi Club President (Co-Moderator) - PCC

  Michelle is a PCC student and President of the Pi Club.
• 
  Elijah Ghossein, Student and President, Decoded Brain (Panelist) - PCC

  Elijah is an undergraduate researcher majoring in Engineering Physics and the President of Decoded Brain, a research organization that bridges neuroscience and engineering. I aim to develop innovative tools that advance society while continuing to deepen my engineering expertise and contribute meaningfully to scientific research.
• 
  Dr. Jonathan H. Jiang, (Panelist) - National Academic Science Strategy Committee for Human Mars Exploration

  Jonathan H. Jiang, Ph.D. is a scientist, science strategist, and educator with more than three decades of experience spanning Earth science, planetary science, and human space exploration. A former Senior Research Scientist and Manager at NASA’s Jet Propulsion Laboratory, he contributed to multiple space missions and led research on climate processes, planetary atmospheres, and satellite remote sensing; he has also served on National Academies committees on the human exploration of Mars. Dr. Jiang is Editor-in-Chief of the Journal of Humanity’s Future in the Cosmos and founder of Beacon in the Cosmos, an educational initiative focused on preparing students for the scientific, societal, and ethical challenges of the future, and he is widely recognized for connecting rigorous science with big-picture questions about humanity’s long-term survival, creativity, and responsibility in the universe.

• 
  Dr. Jie Zhong, Professor, Mathematics (Panelist) - Cal State LA

  Dr. Jie Zhong is an Associate Professor of Mathematics and the Undergraduate Advisor in the Department of Mathematics at Cal State LA. He received his PhD in Applied Mathematics from the University of Southern California (2013). After graduation, he held research and visiting appointments including a CREST (JST) postdoctoral fellowship at Ritsumeikan University (Japan), a visiting assistant professor position at the University of Central Florida, a postdoctoral fellowship at the Mathematical Sciences Research Institute (MSRI), Berkeley (Fall 2015), and a visiting assistant professor appointment at the University of Rochester.
  
  Dr. Zhong’s work centers on modernizing mathematics education for the AI era—connecting core mathematical ideas (probability, statistics, optimization, and computation) to real-world data science and machine learning applications, and helping students learn to use AI tools responsibly and effectively. He supervises a large group of undergraduate and graduate researchers and has advised more than 100 students in data science and AI, while also supporting students’ academic planning and timely progress toward graduation in his advising role.
  
  Building on collaborations initiated through the MAA PIC Math program, Dr. Zhong’s student teams have partnered with the City of Los Angeles’ Data Team to develop interactive data visualization tools that help residents understand neighborhood crime trends and support evidence-based decision-making for local communities. He is the Principal Investigator on an NSF HSI-ELPSE project advancing computational thinking and data-driven learning through CSU–community college collaboration and has also received support from the Gates Foundation to strengthen equitable, AI-ready STEM pathways and student success.
  
  At PCC’s Pi Day, Dr. Zhong will share how human-centered AI can enrich mathematical learning and empower students to become modern problem-solvers—by asking better questions, combining mathematical reasoning with AI tools, and translating ideas into impact.

2:00 PM - 2:40 PM Calculus Workshop

Watch live in-person in CC 130 or watch live on YouTube

Workshop Title:
"The Science of Succeeding in Calculus”

Description:
Success in calculus is not about being a “math person,” but about developing specific, repeatable habits. In this workshop, we will explore what learning science and classroom experience suggest about how students actually succeed in calculus, including why studying longer is often less effective than studying strategically. Students will learn how to form productive study groups, how to prepare before and during the semester, and how to structure their time to build skill and confidence. Drawing from years of teaching experience and observed student outcomes, this session provides practical strategies that can be implemented immediately to improve performance and create a stronger academic foundation in calculus.

Presenter:

• 
  Joshua Robles, Professor, Mathematics - PCC

  Joshua Robles is a mathematics professor at Pasadena City College and a proud PCC transfer student. He began his college journey at MIT, later continued at Pasadena City College, and went on to earn both his Bachelor’s and Master’s degrees in Mathematics from Cal Poly Pomona, focusing on applied mathematics, optimization, and statistics. He also pursued doctoral study at UC Irvine before choosing to focus his career on community college teaching. With over ten years of teaching experience, previously at Crafton Hills College and now at PCC, he is currently completing an M.S. in Data Science at Boston University. As an AB 1705 co-coordinator, he works to help students begin directly in Calculus and build the skills and confidence needed to succeed in STEM and data-driven fields.

2:45 PM - 3:35 PM Research & Internship Panel

Watch live in-person in CC 130 or watch live on YouTube

Workshop Description:

• 
  Dr. Jillian L. Boland Ph.D., Professor, Chemistry (Moderator) - PCC

  Jillian L. Boland, Ph.D., is an Associate Professor of Chemistry at Pasadena City College (PCC), where she teaches Organic Chemistry, General/Organic/Biochemistry, and the Environmental Sciences. She leads an undergraduate research group at PCC and her research focuses on bio/nanotechnology and the development of innovative educational activities that promote equity in science education and contribute to diversity in the STEM workforce. She is a Co-Principal Investigator on an NSF Future Manufacturing grant in collaboration with Caltech, UCLA, and UCSB that centers on the development of novel nucleic acid-based manufacturing technologies to fabricate materials of the future; Jillian leads the education and workforce development aspect of this effort. This includes training a diverse future STEM workforce with relevant skills and character traits for success in careers pertaining to science and education. Jillian was part of the algae biotechnology community as a graduate student at the University of California, San Diego, where her research aimed to engineer fatty acid biosynthesis in microalgae toward sustainable bioenergy. This is also where Jillian began her outreach program for underrepresented students focused on modern science and technology, which has evolved significantly throughout her time at PCC. Along with her research group, she has developed engaging laboratory activities regarding systems thinking and sustainability science, engineering algae and synthesizing algae biodiesel, making natural artistic paints and other endeavors at the art-science interface, and DNA nanotechnology; these lessons are implemented in her courses at PCC and in science outreach to underrepresented communities. Outside of science, her interests include music composition and performance, creating nanoart, exploring Nature, the Los Angeles Dodgers, and hanging out with her family and Bengal cat.
• 
  Katina Carranza, Student, Math and Computer Science (Panelist) - PCC

  Katina is a dedicated parent and a passionate student at PCC, where she is pursuing her studies in Math and Computer Science. She is deeply fascinated by the role numbers play in the natural world and enjoys exploring their connections to nature. In addition to her academic pursuits, Katina works in the Math Division where she continues to nurture her love for mathematics.
• 
  Jonathan Davidson, Masters in Mathematics (Panelist) - Cal State LA

  Jonathan Davidson is a recent graduate of California State University, Los Angeles, where he earned his M.S. in Mathematics. His academic interests lie in analysis and combinatorics, with a particular focus on solving combinatorial optimization problems by translating discrete questions into continuous, calculus-based frameworks. His work is motivated by applications to large networks, including systems that arise in neural networks and statistical physics. Some of his research has been showcased at regional mathematics conferences as well as the Joint Mathematics Meetings. While awaiting Ph.D. admissions decisions, Jonathan continues to conduct research in combinatorics with Dr. Jason O’Neill and Dr. Mike Krebs at Cal State LA. Outside of mathematics, Jonathan enjoys reading novels, watching movies, and spending time playing with his dog.

• 
  Jason Lee, Student, Project Lead, Applied Math (Panelist) - PCC

  Jason is a second-year student majoring in Applied Mathematics with a passion for building machine learning (ML) models to aid in Alzheimer's diagnosis and understanding. My research over the past year has culminated into a ML & neuroscience research paper that has been submitted in a peer-reviewed journal. Beyond research I believe in sharing these skills and tools with others. I teach a weekly artificial intelligence (AI) course and mentor students interested in building their skills outside the classroom

3:40 PM - 4:15 PM AI Workshop

Watch live in-person in CC 130 or watch live on YouTube

Title:
"How AI Sees the World" Computer Vision Workshop
This beginner-friendly workshop explores how artificial intelligence "sees" the world through images. Participants will learn the basics of computer vision, how images are represented as pixels, and how AI processes visual data, including common sources of noise and bias. 
The session includes a live demo and a short, hands-on coding activity where attendees build a simple computer vision project.

Please bring your laptop for a better experience!

Workshop Leads:

• 
  Shin Htet Aung, Student, Computer Science - PCC

  Shin is the President and a co-founder of the Artificial Intelligence Club at PCC and plans to pursue Computer Science at a four-year university. In his leadership role, he manages club operations, organizes technical workshops and events, and leads initiatives to promote AI education on campus.
• 
  Vivian Nguyen, Student, Mechanical Engineering - PCC

  Vivian Nguyen is the Vice President of AI Club, Vietnamese Student Association, and Bouldering Club at Pasadena City College, where she studies mechanical engineering. Her goal is to transfer to an accredited four-year university to strive for a Bachelors of Science in Mechanical Engineering.
• 
  Jeremy Lin, Student, Electrical Engineering - PCC

  Jeremy Lin handles public relations for the AI Club while studying electrical engineering at Pasadena City College. He focuses on artificial intelligence and works with a startup developing AI tools for 3D animation, where he works on cloud infrastructure and frontend development. His interests center on the intersection of engineering and AI. Jeremy plans to transfer to UC San Diego to further pursue electrical engineering.

4:20 PM - 5:15 PM Academic Panel - AI and Education: How to Use AI Smartly for Learning

Watch live in-person in CC 130 or watch live on YouTube

• 
  Carrie Starbird, Dean, Mathematics Division (Moderator) - PCC

  Dean Carrie Starbird transferred from PCC to Cal Poly San Luis Obispo to earn her Bachelor's Degree in Mathematics. After completing her Master’s Degree in Applied Mathematics from Cal Poly Pomona, she began her full-time teaching career at PCC, where she taught math for over 10 years. For the past decade, Dean Starbird has led the Mathematics Division through many changes, including Covid, hiring over a quarter of the division’s new faculty, and numerous legislative changes that have impacted community college mathematics students. Currently, Dean Starbird is also the Project Director for a Title III grant aimed at improving STEM students’ completion rates.
• 
  Dr. Jay Cho, Professor, Mathematics (Panelist) - PCC

  Jay Cho is a mathematics professor at Pasadena City College with extensive experience in teaching, curriculum development, and college leadership. He holds an MS and BA in Mathematics from the University of California, Irvine. Since joining PCC in 2002, Professor Cho has taught a wide range of courses—from pre-college algebra through single and multivariable calculus, linear algebra, and elementary statistics. His teaching spans both foundational and advanced mathematics, with a strong commitment to supporting diverse student populations and fostering meaningful learning experiences.

  Professor Cho has been deeply involved in curriculum innovation and campus initiatives. He developed and piloted the Pre-Statistics course, contributed to the creation of SLAM (Statistics and Liberal Arts Mathematics), and co-created SLAM TV, a video series designed to make statistics more engaging and accessible. More recently, he co-developed Mathematical Modeling with Programming courses that integrate calculus and coding. He currently serves as the course coordinator for Elementary Statistics and previously coordinated the Math Jam bridge program, supporting hundreds of incoming students each year. His work reflects a dedication to thoughtful curriculum design, faculty collaboration, and building programs that expand access and student success in mathematics.

• 
  Dr. Maria Okunkova, Professor, Physics and Astronomy (Panelist) - PCC

  Dr. Okounkova is a tenure-track physics and astronomy faculty member at PCC. She received her BA in Physics magna cum laude from Princeton University in 2014, with a minor in applications of computing, and her PhD in physics from Caltech in 2019, researching black holes and gravitational waves with Prof. Saul Teukolsky. Until she joined PCC, she was a Research Fellow at the Center for Computational Astrophysics at the Flatiron Institute in New York City. Her research interests involve black holes, general relativity, gravitational waves, and computational astrophysics, and she has over a dozen lead-author publications in her field. Dr. Okounkova is passionate about diversity, equity, and inclusion in STEM, and seeks to make this a focal point of her teaching and mentorship at PCC.

• 
  Dr. Gidget Tay, Professor, Chemistry (Panelist) - PCC

  Dr. Gidget Tay is a chemistry professor at Pasadena City College. She received her bachelor's degree in chemistry from UC San Diego and her Ph.D. in Organic Chemistry from UC Irvine. She is a faculty advisor of the PCC Chemistry Club, the lead coordinator for the PCC STEM Saturday high school outreach program, and on the leadership board for the international Organic Education Resources Community. She most recently published her work on “Personalized System of Instruction for the Foundational Knowledge of Organic Chemistry” in the Journal of Chemical Education and presented the findings in Thailand at the International Conference of Chemical Education. She was part of the VOICES (Voices Opposing Injustice through Community-Engaged Scholarship) program where she guided a group of PCC students to develop ways to collect and examine microplastics from local beaches. She is passionate about serving her students and attends teaching conferences regularly to incorporate the most up-to-date pedagogical practices in her classroom. In her free time, she enjoys dancing, gardening, playing Taiko, and taking ceramics classes at PCC alongside her students.
• 
  Dr. Roger Yang, Professor, Mathematics (Panelist) - PCC

  Dr. Roger Yang is a mathematics professor at Pasadena City College with over two decades of experience in teaching, curriculum innovation, and faculty mentorship. He holds a PhD in Mathematics from the University of California, Irvine, and a BA in Computer Science and Mathematics from Cornell University. Dr. Yang has been a key contributor to several innovative initiatives, including the development of AI-infused curricula and Python-based mathematical modeling courses. 
  
  He also co-created SLAMTV, a video series designed to make statistics engaging and accessible. Dr. Yang’s work emphasizes leveraging AI to foster higher-order thinking in mathematics and exploring equitable teaching practices. With extensive experience in standards-based grading and professional development, he is dedicated to transforming education to meet the needs of the AI-driven era.

5:15 PM - 5:30 PM Closing & Final Photo

Watch live in-person in CC 130 or watch live on YouTube

Saturday, March 14 
Circadian, CC130

9:00 AM - 9:35 AM Math Workshop

Watch live in-person in CC 130 or watch live on YouTube

Title:
From Pollen to Pixels
How Einstein’s Math Powers Modern AI Models

Abstract:
Albert Einstein’s work on Brownian motion helped establish the existence of atoms and revealed how randomness at the microscopic level can produce predictable patterns at larger scales. In this interactive presentation, we explore how simple random motion leads to one of the most important equations in science: the diffusion equation. Beginning with the historical observations of botanist Robert Brown, students will investigate how scientists test hypotheses and eliminate possible explanations using careful experimental design.

Participants will then use an interactive web-based simulation to explore random walks, observing how unpredictable individual motion gives rise to clear statistical patterns. These experiments motivate an intuitive derivation of the diffusion equation using difference equations, illustrating how mathematicians “zoom out” from discrete systems to continuous models using calculus.

A second simulation will extend the ideas to two dimensions, showing how diffusion explains everyday phenomena such as the spreading of ink in water. The presentation concludes with modern applications of diffusion-based models, including the spread of disease, random fluctuations in financial markets, and recent advances in artificial intelligence such as diffusion-based image generation.

Lead:

• 
  Jonathan Davidson, Masters in Mathematics - Cal State LA

  Jonathan Davidson is a recent graduate of California State University, Los Angeles, where he earned his M.S. in Mathematics. His academic interests lie in analysis and combinatorics, with a particular focus on solving combinatorial optimization problems by translating discrete questions into continuous, calculus-based frameworks. His work is motivated by applications to large networks, including systems that arise in neural networks and statistical physics. Some of his research has been showcased at regional mathematics conferences as well as the Joint Mathematics Meetings. While awaiting Ph.D. admissions decisions, Jonathan continues to conduct research in combinatorics with Dr. Jason O’Neill and Dr. Mike Krebs at Cal State LA. Outside of mathematics, Jonathan enjoys reading novels, watching movies, and spending time playing with his dog.

9:35 AM - 10:10 AM AI Workshop
Watch live in-person in CC 130 or watch live on YouTube

10:10 AM - 10:45 AM Machine Learning Workshop
Watch live in-person in CC 130 or watch live on YouTube

Abstract:
Have you ever wondered how Apple’s FaceID can recognize you even in the dark? That same technology will be explored in this interactive workshop but this time we’ll use it to detect Alzheimer’s by looking at brain waves! We will deep dive into the latest cutting-edge AI and medical technology. You’ll join in an interactive game of ‘Shuffle Attention’ - an AI strategy game where you’ll work in teams to filter out “background noise” and figure out hidden patterns in data. Come see how we’re teaching computers to “see” better and why a simple ‘shuffle’ is the secret to making AI faster and smarter.

Lead:

• 
  Jason Lee, Student, Project Lead, Applied Math - PCC

  Jason is second-year student majoring in Applied Mathematics with a passion for building machine learning (ML) models to aid in Alzheimer's diagnosis and understanding. My research over the past year has culminated into a ML & neuroscience research paper that has been submitted in a peer-reviewed journal. Beyond research I believe in sharing these skills and tools with others. I teach a weekly artificial intelligence (AI) course and mentor students interested in building their skills outside the classroom.

10:45 AM - 10:55 AM Break

10:55 AM - 11:45 AM Keynote Speaker: Dr. Thomas Hou

Watch live in-person in CC 130 or watch live on YouTube

Title:
How AI Learns and Generalizes: The Math Behind It

Abstract:
Artificial intelligence is rapidly transforming science, technology, and society, and much of this progress is powered by a remarkably coherent mathematical framework: deep learning. This talk introduces the core ideas behind modern neural networks from a mathematical viewpoint. We begin with supervised learning, where data come as input–output pairs and models map features to predictions. We then move from linear models to deep networks viewed as compositions of linear maps and nonlinear activations, and formulate learning as minimizing a loss function over training data. We highlight (stochastic) gradient descent and backpropagation—an efficient application of the chain rule—and briefly discuss key geometric aspects of the loss landscape, including local minima, saddle points, and the practical roles of noise and momentum. These ideas are illustrated through applications such as classification, large language models, and physics-informed neural networks (PINNs) that incorporate physical laws to address PDE-constrained problems.

• 
  Dr. Thomas Hou, Charles Lee Powell Professor, Applied Computational Mathematics (Co-Moderator) - Caltech

  Thomas Yizhao Hou is the Charles Lee Powell professor of applied and computational mathematics at Caltech. His research interests include 3D Euler singularity, interfacial flows, multiscale problems, and adaptive data analysis. He received his BS in math from South China University of Technology in 1982, his Ph.D. from UCLA in 1987, and became a tenure track assistant professor in 1989, and a tenured associate professor in 1992 at the Courant Institute. He moved to Caltech in 1993 and was named the Charles Lee Powell Professor in 2004. Dr. Hou has received a number of honors and awards, including Member of the National Academy of Sciences in 2024, Fellow of American Academy of Arts and Sciences in 2011, a member of the inaugural class of SIAM(Society of Industrial and Applied Mathematics) Fellows in 2009 and AMS(American Mathematical Society) Fellows in 2012, the William Benter Prize in Applied Mathematics in 2024, the SIAM Ralph E. Kleinman Prize in 2023, the SIAM Outstanding Paper Prize in 2018, the SIAM Review SIGEST Award in 2019, the Computational and Applied Sciences Award from USACM (US Association of Computational Mechanics) in 2005, the Morningside Gold Medal in Applied Mathematics in 2004, the SIAM Wilkinson Prize in Numerical Analysis and Scientific Computing in 2001, the Frenkiel Award from the Division of Fluid Mechanics of American Physical Society in 1998, the Feng Kang Prize in Scientific Computing in 1997, a Sloan fellow from 1990 to 1992. He was an invited speaker at the International Congress of Mathematicians in 1998, an invited plenary speaker at the International Congress of Industrial and Applied Mathematics in 2003, and the founding Editor-in-Chief of the SIAM Journal on Multiscale Modeling and Simulation from 2002 to 2007.

Resources for Your Pi Day Poster/Presentation

• If you'd like the Pi Club to print your digital poster, please email us here. (Recommended poster size:  20" x 32"  or  40" x 32")
• For more examples of Pi Day posters click here.
• "Want to be a great storyteller? First, break these habits"
• Learn to condense your research story into a Three Minute Thesis
• Avoid "Death by PowerPoint"
• Prepare your own "TEDx Talk"
• Watch other undergraduate research pitch competition videos

Examples of Pi Day Posters:

Chance to Win a Gift Card

Every instructor and student who submits their Pi Day survey online will have a chance to win a gift card. Deadline: TBA

T-Shirt Design Contest!

Participate in the T-Shirt Design Contest to win a gift certificate up to $100!

• Theme for Pi Day T-Shirt 2026:  "I can do it!" (3 colors maximum)
• T-Shirt Design Submission Deadline: TBA

Submit Your T-Shirt Desgin

Every poster-participating student and instructor will receive a certificate in the award ceremony, receive one raffle ticket, and will be entered for a chance to win a gift certificate up to $100.

Pi Day Survey

View our past Pi Day Events