Meet our amazing speakers joining us from around the world.
Sally Radell, M.A., M.F.A
Associate Professor, Dance, Emory University
Joseph Shaw, Ph.D.
Research Lead, Royal Ballet, London, England
Joseph Shaw is the Research Lead at the Royal Ballet. Joseph was previously the Head of Performance at Guild Esports. Prior to this role, they worked as PhD Researcher at the Royal Opera House. Joseph also served as a Consultant for various organizations including Parkrun, Standard Liege FC, Guild Esports, London Contemporary Dance School, and Pharmed UK. Joseph has experience as a Sport & Data Scientist at The Royal Ballet School, a Researcher in Physiology at the English Institute of Sport, and a Sports Scientist at Loughborough Students’ Sport and Nottingham Forest FC. Joseph Shaw completed their education as follows: From 2018 to 2022, they pursued a Doctor of Philosophy (PhD) degree in Training Load and Injury in Professional Ballet at St Mary’s University, Twickenham. In 2017 and 2018, they obtained an MSc in Exercise Physiology with Distinction from Loughborough University. Between 2013 and 2017, they earned a First Class Honours BSc (Hons) degree in Sport and Exercise Science from Loughborough University.
Tica Lin, Ph.D.
Researcher in HCI, Data Visualization, AR/VR, and SportsXR
Recently received a Ph.D. from the Visual Computing Group at Harvard University, advised by Prof. Hanspeter Pfister. Her research focuses on Immersive Analytics, SportsXR, and Human-AI Interaction, particularly in developing XR visualization and interaction for real-life dynamic environments. Her goal is to merge the physical and digital realms, enhancing decision-making and personalizing information access with seamless experiences. Her work, recognized with Best Paper Honorable Mentions at CHI 2021 and VIS 2022, has been published in ACM SIGCHI, IEEE VIS, ISMAR, and TVCG journal.
She has contributed to the development of innovative AR/VR and AI technologies at Adobe Research, Apple Vision Products Group and Facebook Reality Labs as a research intern. Prior to embarking on the Ph.D. journey, she was a Sr. Data Visualization Designer at Visa, and UX Developer at Philadelphia 76ers.
Shane Wuerthner
Founder of Athletistry
Shane Wuerthner, a prominent figure in ballet, transitioned from a successful dance career to leadership roles in the industry. He began his journey at The Kirov Academy of Ballet, graduating top of his class in 2004. Wuerthner danced with prestigious companies like the San Francisco Ballet, American Ballet Theatre, Boston Ballet, The Royal Danish Ballet, and Vienna State Ballet, where he rose to soloist. In 2012, he joined The San Francisco Ballet and later Queensland Ballet, becoming a Principal in 2015. Wuerthner’s repertoire included principal roles in classics and contemporary works by renowned choreographers. He also performed with André Rieu and in international tours. Retiring from the stage in 2017, he pursued a fitness career, quickly becoming a sought-after trainer and founding Athletistry Ballet, focusing on adult ballet coaching and holistic movement. In 2022, Wuerthner took Athletistry online, expanding its reach with nearly 100k social media followers. Today, Athletistry offers international coaching, workshops, and guidance in ballet and fitness, showcasing Wuerthner’s leadership and vision.
Amit Rogel, M.S.
Researcher, Music Technology, Georgia Institute of Technology
John Stasko, Ph.D.
Regents Professor, Interactive Computing, Georgia Institute of Technology
John earned a B.S. in Mathematics from Bucknell University (1983) and Sc.M. and Ph.D. in Computer Science from Brown University (1985, 1989). He joined Georgia Tech’s faculty in 1989 and is now a Regents Professor in the School of Interactive Computing (IC). He served as Interim School Chair of IC in 2021-2022 and is an Adjunct Faculty member of the School of Computing Instruction at GT. In 2013, he was named an Honorary Professor at the University of St. Andrews, Scotland.
John’s research focuses on data and information visualization from a human-computer interaction perspective. He chaired the IEEE VIS conference in 2013, was inducted into the ACM CHI Academy in 2016, IEEE VIS Academy in 2019, and became an IEEE Fellow in 2014 and an ACM Fellow in 2022. He received the IEEE VGTC Visualization Technical Achievement Award in 2012 and the Lifetime Achievement Award in 2023. He has also received the College of Computing’s annual gus baird Teaching Award twice.
As Director of the Information Interfaces Research Group, John works on creating tools for exploring, analyzing, understanding, and communicating data. His group’s projects focus on visual analytics systems for sense-making activities on large data sets. He highlighted his research in a EuroVis 2014 Conference Capstone lecture and a 2022 CSIG-VIS lecture on flexible and natural interfaces for human-data interaction.
Boris Prilutsky, Ph.D.
Professor, Biological Sciences, Georgia Institute of Technology
Caroline Hunt, M.A.
VP of USA Rhythmic Gymnastics
Prior to joining USA Gymnastics, Hunt taught in the California school system at Pacific Hills School in West Hollywood from 2001-07. She also taught at Summit Preparatory High School in Redwood and was an assistant teach for the Rassias Language Program. She was Pacific Hills School’s Teacher of the Year in 2005.
Hunt earned her Master of Arts in Education and the California Single Subject Credential in English in June 2006 from Stanford University. She graduated magna cum laude from Dartmouth College in 2000 with a Bachelor of Arts in English.
Hyeokhyen Kwon, Ph.D.
Assistant Professor, Bioinformatics, Emory University
Hyeokhyen Kwon, or Hyeok, is an Assistant Professor at the Department of Biomedical Informatics at Emory University School of Medicine, an Assistant Professor of Computer Science and Informatics at Emory University, a Program Faculty at the Department of Biomedical Engineering at Emory University and Georgia Institute of Technology, and a Program Faculty of Machine Learning Center at Georgia Institute of Technology. His research focuses on designing accessible, scalable, secure, and privacy-preserving machine learning systems using distributed on- and off-body sensors to tackle brain health challenges. His applications lie at the intersection of computer vision, machine learning, ubiquitous computing, and human activity recognition. He has published in top-tiered journals and conferences, such as CVPR, ICCV, Ubicomp/ISWC, IMWUT, and Sensors. His Ph.D. research received a Samsung Ph.D. Fellowship and an Oracle for Research Award, and he was named a finalist in the Gaetano Borriello Outstanding Student Award at Ubicomp/ISWC 2021, as well as a finalist in Oracle for Research Fellow. During his PostDoc at Emory BMI, he also received the Oracle for Research Award.
Andrea Knowlton, M.F.A
Associate Professor, Dance, Kennesaw State University
Andrea Knowlton is a Choreographer, Educator, and the Artistic Director of DANCE AEGIS, a movement based creative platform. Knowlton creates for both stage and screen in concert and commercial realms. Her work often integrates dance with film, media, and interactive technology. She has presented choreography in venues all over New York City, and Los Angeles. Her dance films and music videos have received national and international screenings. Knowlton’s focus as an artist is on process, collaboration, and interdisciplinary conversation. Her choreographic work is inspired by the living body and its relationship to science and technology. She is interested in media, and its ability to diminish or magnify our innate human qualities. She has worked extensively as an Arts Integration Specialist, using dance to teach academic subjects to K-12 students across Los Angeles. As a teaching artist, she works with students of all ages in studio environments. She has been on faculty at Pasadena City College, and California State University Long Beach. Knowlton is a certified Yoga Instructor. She holds a BFA in Dance/Choreography from Marymount Manhattan College in NYC, and an MFA in Choreography/Integrated Media from California Institute of the Arts.
Meet our organizing committee.
Milka Trajkova, Ph.D.
Research Scientist, Georgia Tech
Milka Trajkova is a Research Scientist at Georgia Tech working in the Expressive Machinery Lab. Milka completed her PhD in Informatics at Indiana University with a specialization in Human-Computer Interaction and a minor in Learning Science. Being a professional ballet dancer with the Macedonian Opera and Ballet and a human-centered AI researcher opened the window into a unique perspective on the intersection of movement and computing. Dr. Trajkova’s research explores the way we can design non-invasive AI-based tools to optimize human movement performance towards the democratization of knowledge and learning.
Minoru “Shino” Shinohara, Ph.D.
Minoru “Shino” Shinohara, PhD, is the director of the Human Neuromuscular Physiology Lab and an associate professor in the School of Biological Sciences and the Department of Biomedical Engineering at the Georgia Institute of Technology. He received his BS and MS in physical education and his PhD in multidisciplinary sciences from the University of Tokyo. He worked there as an assistant professor, at Pennsylvania State University as a research associate, and at the University of Colorado at Boulder as a senior research associate before joining Georgia Tech. His research interests include the neuromuscular mechanisms underlying human motor control, learning, and recovery. Regarding the artistry in human movement, he coaches rhythmic gymnastics at various levels, applying his scientific knowledge to analytical observations and education of gymnasts, including his daughter, a former national team member and a prominent content creator in rhythmic gymnastics on social media.
Brian Magerko, Ph.D.
Regents Professor of Digital Media, Director of Graduate Studies in Digital Media, & head of the Expressive Machinery Lab at Georgia Tech
Dr. Brian Magerko is a Regents Professor of Digital Media, Director of Graduate Studies in Digital Media, & head of the Expressive Machinery Lab at Georgia Tech. He received his B.S. in Cognitive Science from Carnegie Mellon (1999) and his MS and Ph.D. in Computer Science and Engineering from the University of Michigan (2001, 2006). His research explores how studying human and machine cognition can inform the creation of new human/computer creative experiences. Dr. Magerko has been research lead on over $20 million of federally-funded research; has authored over 100 peer reviewed articles related to digital media, creativity, cognition, and learning; has had his work shown at galleries and museums internationally; co-authored an internationally adapted framework–and the top-cited article on–AI literacy education and design; and co-founded a music-based learning environment for computer science – called EarSketch – that has been used by over 1.5 million learners worldwide. Dr. Magerko and the Expressive Machinery Lab’s work has been shown in the New Yorker, Washington Post, the Smithsonian Museum of American History, The Goat Farm Arts Center, USA Today, CNN, Yahoo! Finance, NPR, and other global and regional outlets.
Research Seed Grant: More information here.
PI: Milka Trajkova, Research Scientist, School of Literature, Media, Communication
Co-PI: Brian Magerko, Professor, Literature, Media, Communication
Minuoru Shinohara, Associate Professor, School of Biological Sciences
Thomas Ploetz, Associate Professor, School of Interactive Computing
Boris Prilutsky, Professor, School of Biological Sciences
Yalong Yang, Assistant Professor, School of Interactive Computing
John Stasko, Professor, School of Interactive Computing