Anshika is a coterminal Bachelor’s and Master’s student studying Computer Science at Stanford. She works on social NLP research at the Stanford AI Lab and spent the summer developing speech model infrastructure at Meta Superintelligence Labs. Previously, she has held engineering roles at Centrly, Avalanche Energy, Quizlet, and AWS. Anshika is passionate about building communities that think critically about creating technology. She studied theories of innovation at the Oxford Internet Institute, and she currently leads the Green AI student group at the Stanford Human-Centered AI Institute. She is also a member of the Stanford Debate Society, where she reached finals at the US Universities Debating Championships. In her free time, she enjoys playing the guitar and exploring local cafés.

Sahithi is a Master’s student in Computer Science at Stanford and a National Science Foundation Graduate Research Fellow developing interpretable, clinically meaningful AI systems. She is passionate about multimodal machine learning for healthcare, focusing on trustworthy models that support real-world clinical decision-making. She graduated from Caltech with a B.S. in Computer Science, where she served as a Director of the Caltech Entrepreneurship Club, organizing events and leading outreach across students and alumni. Beyond academics, she has contributed to projects at Google, NASA JPL, and Stanford’s Medical AI & Vision Lab, and is driven to translate technical innovation into practical healthcare impact. In her free time, she enjoys cooking, live music, and exploring Bay Area cafes.

Anavi is a coterminal Master's student studying Computer Science with a focus in Human-Computer Interaction. Born and raised in Singapore, she grew up in a multicultural environment that sparked her curiosity about how people communicate and form connections. She completed her B.S. in Computer Science (AI) with a minor in Psychology, where she explored design, behavior, and how technology shapes everyday interactions. She has worked in product management across startups and large-scale companies, most recently at Databricks and Marriage Pact. On campus, she is a CA for CS278: Social Computing and has conducted research with the Stanford HCI Group and the VMware Women's Leadership Lab. She previously served on Class Cabinet and now sits on the School of Engineering's Dean's Advisory Council. Anavi's goal is to build ethical, human-centered products that create meaningful and lasting impact.

Sara is a Moroccan student pursuing an M.S. in Computational and Mathematical Engineering at Stanford. She completed both her Bachelor’s and Master’s in Applied Mathematics and AI at École Polytechnique in France, where she became increasingly interested in how quantitative methods can support medical decision making. After an internship in trading at J.P. Morgan, she joined Columbia University to work on statistical inference for cancer evolution. She also conducts research at Stanford Medicine in anesthesiology alongside her graduate studies, focusing on cardiovascular waveform analysis to improve the prediction of intraoperative hypotension. She hopes to use her technical background to build tools that support clinicians and eventually create her own healthcare startup.

Zeb Barry, from New Zealand, is pursuing a Master's degree in Aeronautics and Astronautics at Stanford University. Before Stanford, Zeb spent four years at Rocket Lab, where he designed orbital missions, developed embedded flight software for the Electron rocket, and operated the rocket for dozens of launch campaigns. He earned First Class Honours in Mechatronics Engineering from the University of Canterbury and won the Engineering NZ Templin Scroll Award for his work on facial recognition and tracking. Zeb received the John R Templin Scholarship to continue his studies at Stanford, specialising in spacecraft GNC while exploring the entrepreneurial side of aerospace. Outside of the classroom you'll find Zeb kiteboarding, learning flag football or getting out in the mountains.

Anika is a coterminal Master’s student in Computer Science specializing in AI, with undergraduate degrees in Computer Science (HCI) and English (Creative Writing), reflecting her interests in technology and the humanities. She’s passionate about building AI products that reimagine how people learn and create. She’s worked as a software engineer at Square and Atlassian and taught introductory CS as a Stanford section leader. Most recently, she was a product manager at Accel-backed AI startup Ema, where she built tools that empower non-technical users to create AI-driven workflows through natural language prompts. On campus, Anika loves playing for the Stanford Symphony Orchestra as Principal Bassist, co-leading the Afrofutures Now reading group, and training for her next half marathon.

Alex Georgiou is a second-year MS student in Mechanical Engineering. Prior to Stanford, he attended the University of Washington, earning a BS in Mechanical Engineering and conducting tissue engineering research in the Theberge Lab. At Stanford, he joined the Skylar-Scott Lab, designing 3D bioprinting nozzles to further research in organ manufacturing technologies. He is now the founder of Printess Technologies LLC, a spin-off of his Stanford research that seeks to democratize 3D bioprinting for researchers and educators internationally. In his free time, he enjoys training Brazilian Jiu-Jitsu with the Stanford BJJ Club and dancing salsa and bachata with his friends.

Akash is a master’s student in MS&E and recently completed his BS in Computer Science with a focus on AI. He’s interested in applied AI, especially in areas like healthcare and the evolving interaction layer between humans and agents. In recent summers, he’s worked across early-stage venture and at a pre-seed startup building customizable agentic workflows for internal business operations. These experiences led to his interest in the human–agent interaction layer, where he believes the biggest gains in AI will come from making collaboration between people and agents feel intuitive and fluid. At Stanford, he previously served as president of the Sports Analytics Club. Outside of work, he’s a loyal D.C. sports fan who enjoys pickup basketball and time with friends and family.

Abbie is a Master's student in Management Science & Engineering who recently completed her B.S. in CS & Product Design. Abbie tackles equity-driven problems at the intersection of learning justice and social innovation through research, product strategy, entrepreneurship, and philanthropy. At the Stanford Accelerator for Learning, she leads a project developing a multi-agent AI simulation platform that helps educators practice restorative responses to school-based harm. Professionally, she serves as a product leader at fast-growing startups and big-tech companies alike, where she has led multi-disciplinary teams building human-centered AI systems. Growing up in a family of educators, Abbie has a heart for the classroom and volunteers as a teacher’s aide at a local school in Menlo Park.

Roya is a Master’s student in MS&E, with a BS in Energy Engineering with Honors at Stanford. She previously co-founded an energy analytics startup optimizing data center siting and energy usage backed by the Alchemist Accelerator and Stanford’s Lean LaunchPad. Her work spans funded SUPER research modeling and designing a 100% renewable microgrid, funded MUIR research on California fisheries leading to a co-authored paper on policy and market inefficiencies, and research on material stress dynamics in helium-implanted nuclear reactor surfaces. Her goal is to continue building climate tech ventures that innovate across sustainability and intelligent systems. Born and raised in San Francisco, Roya loves the ocean, skiing, tennis, new music, and hiking Mount Tam.

Andrea Mock is a second-year master’s student in Education Data Science at Stanford. She is a data scientist and educator who enjoys building AI solutions that solve real-world problems and helping others understand how AI works in practice. Andrea has worked in data science roles at companies like Aura and DraftKings, and she’s passionate about teaching, having guided students and professionals of all ages, from kids as young as six to college students through AI concepts with the edtech company Inspirit AI. Her current focus is on exploring ways to improve youth mental health and reduce screen time through thoughtful, evidence-based interventions. Outside of work and school, Andrea enjoys baking, playing the piano, reading, and indoor cycling.

Naima Patel is a graduate student at Stanford University, pursuing a B.S. in Product Design and an M.S. in Computer Science with a focus on Human-Computer Interaction. She is passionate about building thoughtful, human-centered AI products and crafting interfaces that feel alive. Naima has worked as a Product Fellow at Bell AI, where she launched a Voice AI News Agent and deepened her interest in the future of voice interfaces. Previously, she designed AI integrations across financial planning tools as a Product Management Intern at Oracle and built new components for Oracle’s design system as a UI/UX Design Intern. She has also designed accessibility-focused music apps, built a collaborative digital scrapbooking platform, and contributed AI policy research at Stanford. On campus, Naima served as a Design Peer Advisor at the d.school and as Executive Director of Stanford Concert Network, where she helped bring Doechii to campus for Frost Fest. Outside of class, you can usually find her playing tennis, going on adventures, listening to a new album drop, thrifting, or having family dinner with her roommates.

Kristen is a Master’s student in Sustainable Design and Construction, driven to build water technologies that serve drought-vulnerable communities. From Monterrey, Mexico, she holds a Civil Engineering degree from Johns Hopkins University, where she was the student commencement speaker. She co-founded Cabilde, a civic-tech platform expanding access to Mexican congressional data, and conducted mobility metrics research at the JHU Center for Systems Science and Engineering. At Stanford, she led an affordable housing design team to national recognition and co-led a Climate Ventures team advancing wastewater nutrient recovery. A storyteller at heart, she tutors public speaking at the Hume Center. When she’s not reading about cities, she’s dancing, rock climbing, or chasing live music across the Bay.

Siddhant Sukhani grew up in the nonlinear, fast-moving environment of Mumbai, which shaped his belief in building foundational systems from the ground up. He studied Applied Mathematics and Computational Data Analysis at Georgia Tech, where he was a FinTech Research Fellow, and is now pursuing Computational Mathematical Engineering at Stanford. He sees applied mathematics as the foundation of all knowledge and a language for understanding complex economic and financial behavior. His research spans large-scale NLP and multimodal modeling with multiple first-author NeurIPS and ICCV publications. He aims to build the mathematical and computational bedrock that can power the next generation of global intelligence systems and redefine how humanity understands and acts on information.

Alex is a PhD candidate in Electrical Engineering at Stanford. He is passionate about democratizing access to health care through technological innovation. His doctoral research develops computational imaging algorithms to extend clinical MRI into challenging anatomical environments and onto emerging low-cost hardware. Outside Stanford, Alex has worked at several tech startups and research labs in surgical devices, collaborative robotics, and personalized medicine, taking on roles from R&D to product manager and co-founder. In his free time, he enjoys performing music and comedy, organizing open mic events, and leading backpacking trips. Alex is eager to apply his multifaceted background to roles at the intersection of technology, leadership, and impact.

Originally from San Francisco, Olivia is a Master’s student in mechanical engineering with a particular interest in ocean systems. Her focus lies in creating robotic systems for environmental applications as they pertain to the ocean. Before Stanford, she graduated from Massachusetts Institute of Technology (MIT) in mechanical engineering, being awarded the Carl G. Sontheimer Prize for creativity and innovation in design and academic excellence. During her time at MIT, she co-led a team of 18 peers to create a communications device for Scuba-divers and published a paper on coastal monitoring using an underwater zip-line robot. Furthermore, Olivia is a member of the Stanford Alpine Club, regularly volunteers at the Stanford farm, and spends much of her time trail running, drawing, and planning her next backpacking trip.