I am a Member of Technical Staff at Merge Labs, working at the intersection of neuroscience and machine learning. I completed my undergraduate and master's studies at MIT in Computer Science and Brain and Cognitive Sciences, where my research focused on representation learning from large-scale human neural recordings. At MIT, I was advised by Prof. Ila Fiete and previously worked with Dr. Guangyu Robert Yang and Dr. Christopher Cueva. I co-founded the Ukraine Leadership and Technology Academy to equip young Ukrainians with the skills, knowledge, and confidence they need to rebuild Ukraine into a thriving, European nation. I won the Schwarzman Scholarship and am a Cerebras Fellow. I co-organize TEDxMIT. In 2025, I received the Glushko Prize for Outstanding Research; in 2026, I was elected to Full Membership in Sigma Xi, The Scientific Research Honor Society.
Deep neural networks trained on human intracranial recordings identify natural images that selectively drive or suppress activity at targeted brain sites. This master’s thesis provides a proof of concept for “writing” into the brain through sensory input, a potential route toward noninvasive brain-computer interfaces.
Andrii Zahorodnii* · Christopher Wang* · Geeling Chau* · Bennett Stankovits · Charikleia Moraitaki · Eli Gross · Alexander Brady · Andrei Barbu · Boris Katz · Ila R. Fiete arXiv preprint (2026)
Andrii Zahorodnii · Diego Mendoza-Halliday · Julio C. Martinez-Trujillo · Ning Qian · Robert Desimone · Christopher J. Cueva under review at Nature Neuroscience (2025)
Andrii Zahorodnii · Dima Yanovsky at MIT (2025)
Andrii Zahorodnii in ICLR 2025 Workshop on World Models, and on arXiv (2025)
Andrii Zahorodnii · Jasper J.F. van den Bosch · Ian Charest · Christopher Summerfield · Ila R. Fiete on arXiv (2025)
Joshua B Tan · Eli Müller · Andrii Zahorodnii · James M Shine in Imaging Neuroscience, Vol. 2, pp. 1-20, MIT Press (2024)