Center for Mind, Brain, Computation and Technology

Kenji (he/him) graduated from McGill University in 2022 with a B. Eng. in Bioengineering. He is now working with Professor Paul Nuyujukian to earn a PhD from Stanford's Department of Bioengineering. He's interested in using experimental neuroscience to model the basic ways networks of neurons can control movement and make decisions. He has a long term interest in the marriage between neurotechnology and mental health. He also really enjoys creative writing, playing piano, and watching nature documentaries!

Alisa (she/her/hers) graduated from the Massachusetts Institute of Technology with a BS in Computation and Cognition, and a minor in Mechanical Engineering. Alisa plans to pursue her PhD in Electrical Engineering in Professor Todd Coleman’s lab, focusing on neurotechnology research and device development within the gut-brain axis. She hopes to design and test devices, with implications to understand and move towards the tracking and treatment of neurological disorders. In her spare time, Alisa enjoys hiking, playing piano, and reading. 

Alice (she/her/hers) graduated from UC San Diego with a BS in Bioengineering: BioSystems and a minor in Literatures of the World. She is currently pursuing her PhD in Dr. Paul Nuyujukian's Brain Interfacing Lab. Her research interests broadly include motor learning, stroke recovery, and understanding neural dynamics to improve brain-computer interfaces.

Maylin graduated from University of California, San Diego (UCSD) with a BS degree in Physiology and Neuroscience. At UCSD, she studied learning and memory focusing on circuit and neuromodulation using optogenetics in Dr. Stefan Leutgeb’s lab. She later joined the preclinical team in a start-up biotech company in South San Francisco examining neural cell therapy in vivo for neurological diseases. She is currently pursuing her Bioengineering PhD degree in Dr. Stanley Qi’s lab at Stanford.

Lauren graduated from MIT with a B.S. in Physics and Materials Science. Her fascination with droplets and interfaces led her to gain interest in applying physical principles to complex biological phenomena. Motivated by a passion for translating physical and engineering principles to unique biological contexts, she is currently interested in light-matter interactions for advancing technologies in neuroscience.

Olivia (she/her/hers) is a PhD student in the Mechanical Engineering department advised by Dr. Sean Follmer in the SHAPE Lab. Before coming to Stanford, Olivia earned her BS in Mechanical Engineering from Tufts University. At Tufts, she worked with Dr. Chris Rogers at the Center for Engineering Education and Outreach where she developed and tested an educational tool to help teach robotics and artificial intelligence concepts to young students.

Muhammad (he/him) is a PhD student in Electrical Engineering, with a BS in Mathematics from the University of Florida. He is currently working in the Brain Interfacing Laboratory with advisor Dr. Paul Nuyujukian. His primary interest is using mathematical techniques to understand how networks of neurons encode motor control with potential applications in stroke recovery. Previously, he pursued research on dynamical systems theory and models of neural activity at the Center for the Neural Basis of Cognition and the National Institute of Neurological Disorders and Stroke.

Mary Kate (she/her) graduated from Georgia Tech with a BS in Biomedical Engineering and a minor in Computer Science. She is now pursuing a PhD in Bioengineering in Professor Allison Okamura's CHARM lab, considering the complex neurological processes at play during motor learning in the context of teleoperated surgical robotics. Ultimately, she hopes to learn about how we learn to execute new, complicated motor tasks. Outside of lab, she enjoys reading, crossword puzzles, and hanging out with her cat, Grapes.

Favour (she/her) is a Ph.D. candidate in Electrical Engineering conducting research in the Computational Neuroscience Laboratory with Dr. Ehsan Adeli and Dr. Kilian Pohl. Previously, she obtained a B.S. in Computer Science with minors in Arabic and Global Engineering Leadership from the University of Maryland-College Park (Go Terps!). Her current research is focused on using data-driven methods to discover trackable, digital biomarkers for neurodegenerative diseases by identifying neural correlates between neuroimaging and recorded human, movement-linked disturbances.

Siavash (He/Him/His), a Chemical and Systems Biology Ph.D. student at Stanford, is co-advised by Carolyn Bertozzi from the Department of Chemistry/Sarafan ChEM-H and Longzi Tan from the Department of Neurobiology. Prior to Stanford, he graduated Summa cum laude from the University of California at San Diego with a B.Sc./M.Sc. in Biochemistry and Chemical Biology, achieving Highest Distinction and Departmental Honors. Deeply passionate about neurobiology, Siavash is dedicated to employing cutting-edge technology to understand the intricate cellular and molecular processes of the brain.