Maryam Azmandian
Maryam is a doctoral student in Computer Science at Northwestern University. Prior to Northwestern, she earned her Bachelor of Science in Electrical Engineering and Computer Science (EECS) at UC Berkeley. Her research is in human-computer interaction, tangible technologies, and learning. She’s passionate about designing tools and experiences that foster human development and connection. Her vision for the future is one where tech bolsters authentic, meaningful, accessible, and enriching human experiences.
Jacob Puthipiroj
Jacob is a PhD student in Computer Science and Learning Sciences at Northwestern University. His research focuses on AI education, knowledge representation, and computational linguistics, with an emphasis on developing innovative learning models such as structured hackathons and AI literacy frameworks. In his spare time, Jacob enjoys climbing, quizbowl, and reading social science, which he continuously tries to incorporate into his research.
Khushbu Kshirsagar
Khushbu is a doctoral student in Learning Sciences at Northwestern University. Her work lies at the intersection of mechanical design, mathematics, and art, focusing on informal learning spaces such as museums, playgrounds, and everyday public environments. Khushbu is passionate about encouraging creative exploration and accessibility through her designs; reimagining where and how learning happens, and about designing tools that support playful, curiosity-driven interactions beyond traditional classrooms.
Michael Smith
Michael Smith is a Computer Science and Learning Sciences PhD student at Northwestern University, and a National GEM Consortium PhD Fellow. Some of his research and project interests include exploring the intersections of technology & education, formal and informal learning, computing culture, new media and community, and games.
website
Natalie Melo
Coming from Malden, MA, Natalie is a Ph.D. student in Computer Science and
Learning Sciences. She graduated with a Computer Science degree from the University of Pennsylvania as both a Questbridge Match Scholar and Janey Scholar. Natalie has a passion for empowering students. Her interests lie in identity, collaboration, and belonging.
Sarah Priscilla Lee
Sarah (she/her) is a PhD candidate in Learning Sciences, working on an ethnographic account of refugee students and a cross-cultural coalition of youth across informal educational settings. She examines practices of intergenerational learning and (multi)culturally sustaining pedagogy that complicate notions of youth identity and belonging (vis-à-vis transnationalism and spatial justice). She also enjoys calls with family or friends, various forms of crafting, making coffee (currently AeroPressing), and initiating group hugs.
website
Khalil Anderson
Born in Bronxville, New York and raised in Ellicott City, Maryland, Khalil, a UMBC Alum, is a Computer
Science PhD student with interests in Machine Learning. More specifically with interests in Reinforcement
Learning, NLP, and how Machine Learning can help augment, not necesarily replace, humans in task and jobs
such as driving, learning, manufacturing, and any other area.
website
Herminio Bodon
I am a PhD student in Computer Science and Communication Studies at Northwestern University. My research focuses on understanding learning in sports spaces and designing technologies and experiences that support sports performance and learning.
website
Ashley Quiterio
Ashley is a Learning Sciences PhD candidate at Northwestern University. Their research focuses on data education across K-16 contexts with an emphasis on agency, culture, and identity.
Prasanna Bansode
Prasanna is a recent Mechanical Engineering graduate from Northwestern University. At the TIILT Lab, he contributed to the SportSense team by leading hardware prototyping, PCB design, and mechanical design for smart sports and rehabilitation devices. He also supported front-end development and organized outreach events that connect youth with hands-on STEM experiences. His interests include wearable technology, advanced manufacturing, human-centered design, and biomechanical data analysis. Outside of the lab, Prasanna enjoys developing startup ideas, exploring hardware innovation, and mentoring students in engineering and design.
Tochukwu Eze
Tochukwu is a PhD candidate in Computer Science at Northwestern University, specializing in Collaborative Learning Analytics, AI, and Educational Technology. He focuses on developing predictive models to analyze student cognition, behavior, and interaction, utilizing computer vision and NLP techniques. He has developed a collaboration literacy analytics framework and a multimodal fusion ML algorithm to assess the same. Tochukwu is also a lifetime member of the Edward Alexander Bouchet Graduate Honor Society, a fellow of the Center for Leadership, the Assistant Chair of Chapin Residential College at Northwestern University, and the Co-president of the African Graduate Student Association, where he fosters a supportive environment for African graduate students, emphasizing cultural exchange and academic excellence. He enjoys traveling, exploring diverse cultures, and is passionate about the intersection of technology, education, and social impact.
Victoria Concepción Chavez
Victoria (V/they/she) is a Chicago-born and raised Chapine (Guatemalan) educator, scholar, and engineer. Currently, they’re a third-year PhD student at Northwestern University's Computer Science Program. Victoria’s research interests explore systemic issues within computer science education, centering the experiences of Black, Disabled, Indigenous, and Latine/x students. Most recently, their research has focused on teaching and learning accessibility as well as unpacking how ableism is codified in the policies, practices, and pedagogies used in college CS courses.
website
Meg Butler
As a disabled researcher and educator, Meg is particularly interested in educational dignity. Her work seeks to challenge the deficit-based views of human learning that are complicit in the reification of normatively powered dynamics and push beyond the practices that maintain and enact ableism to a dynamic coexistence of multiple ways of seeing and knowing. She enjoys riding her bike, hanging out with animals, and eating Albanese gummy bears.
Aziza Mirsaidova
Originally from Uzbekistan, Aziza is a first-year Master’s student in Artificial Intelligence at Mccormick. She is interested in learning and researching computational approaches that enable computers to understand human language and break down communication barriers between people and language technologies. In particular, she is exploring areas such as Deep Learning, NLProc and Understanding, and Model Interpretability. At Tiilt, she is contributing to the Blinc team. Outside of academics, she is an epee fencer, and a language learner (currently Arabic).
Anna Xiao
Anna is a recent computer science master’s graduate from Northwestern University. As a part of the SportSense team, she combines software development and outreach to coordinate experiences that connect youth with data and computing through sports. Her work bridges educational technology and accessibility, with a focus on building interactive tools for data driven learning. Her interests include full stack development, data visualization and increasing equity and access in computer science. Outside of the lab, Anna enjoys traveling and exploring new food scenes.