Our Team

our team

founders

Zoya Bylinskii

Founder and CEO, PIINC
Ex-Adobe Evals Lead;
MIT PhD

Zoya Bylinskii

Zoya is the co-founder and CEO of Perceptual Insights Inc. She previously led scientific evaluation for Adobe Firefly's generative imaging and video models, and was a Senior Research Scientist in Adobe Research's Imaging & Languages Lab (2018–2023). She has served on The Readability Consortium's executive board and held affiliations at MIT and Harvard. She earned her PhD in computer science from MIT (2018) and a B.Sc. from the University of Toronto (2012). Her work spans human perception and cognition, machine learning, and human-computer interaction. Her honors include the Adobe Founder's Award (2023), EECS Rising Star (2018), and Adobe Research Fellowship (2016).

Aude Oliva

Founder, PIINC
Senior Research Scientist, CSAIL;
MIT Director, MIT-IBM Computing Research Lab

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Aude Oliva

audeoliva.com

Aude brings thirty years of expertise on what the human mind does that machines do not, and vice-versa, as well as a decade translating academic research into industry development. She is a Senior Research Scientist at MIT CSAIL and the co-founder of Perceptual Insights Inc. From 2021 to 2026 she directed Strategic Industry Engagement at the MIT Schwarzman College of Computing. Her honors include a Guggenheim Fellowship, a Vannevar Bush Faculty Fellowship, an NSF CAREER Award, the 2023 Donald O. Hebb Award, and 2026 Forbes 50 Innovator. She received her PhD from the Institut National Polytechnique de Grenoble in 1996.

advisors

Charles Dye

General Counsel, PIINC

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Charles (Chip) Dye

Drawing from over 25 years of corporate governance and government program management experience, Chip works at the nexus of technical know-how and legal requirements. He holds an undergraduate degree in mathematics and computer science from Cornell University, a master’s degree in applied mathematics from Johns Hopkins University, and a J.D. and Ph.D. (Cognitive Psychology) from the University of Connecticut. He holds board positions in a non-profit charity in Massachusetts and is a fraternity counselor at the University of New Hampshire. He continues to research learning strategies, learner engagement, and integrating technical advancements to optimize learning outcomes.

Alyosha Efros

Scientific Advisor, PIINC
Professor, EECS Department at UC Berkeley

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Alexei Efros

people.eecs.berkeley.edu/~efros/

Alexei (Alyosha) joined UC Berkeley in 2013, after a decade at Carnegie Mellon. He earned his PhD at UC Berkeley in 2003. His research spans computer vision, graphics, and artificial intelligence, focusing on data-driven techniques for problems where large quantities of unlabeled visual data are available. His honors include Sloan and Guggenheim Fellowships (2008), the SIGGRAPH Significant New Researcher Award (2010), three PAMI Helmholtz Test-of-Time Prizes, the ACM Prize in Computing (2016), PAMI Thomas S. Huang Memorial Prize (2023), and the SIGGRAPH Computer Graphics Achievement Award (2026).

Zeke Koch

Strategic Advisor, PIINC
Product and AI Strategy Executive

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Zeke Koch

linkedin.com/in/zekekoch

Zeke Koch spent two decades building creative software at Adobe, most recently as Vice President of Product Management for Firefly, Adobe's suite of generative AI applications and services. He previously led product for Adobe Stock, where he oversaw content and moderation, and served as Senior Director of Product Management for Adobe's digital publishing products, along with roles in platform strategy and mobile and desktop product management. He joined Adobe through its 2005 acquisition of Macromedia, and before that spent a decade at Microsoft. His expertise spans generative AI, creative tools, content licensing, and taking large-scale products from concept to market.

Antonio Torralba

Scientific Advisor, PIINC
Faculty Head, AI;
Delta Electronics Professor, EECS Department at MIT

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Antonio Torralba

groups.csail.mit.edu/vision/torralbalab

Antonio is the Delta Electronics Professor of Electrical Engineering and Computer Science at MIT, where he heads the Artificial Intelligence and Decision-Making faculty since 2020. He received his PhD from the Institut National Polytechnique de Grenoble in 2000. His research spans computer vision, machine learning, and human visual perception. His honors include an NSF CAREER Award (2008), the IAnPR J.K. Aggarwal Prize (2010), the inaugural PAMI Thomas S. Huang Memorial Prize (2021), AAAI Fellow (2021), and ACM Fellow (2025).

Phillip Isola

Scientific Advisor, PIINC
Associate Professor, Computer Vision, EECS Department at MIT

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Phillip Isola

web.mit.edu/phillipi

Phillip Isola is an associate professor of Electrical Engineering and Computer Science at MIT, where his group studies fundamental principles of intelligence, especially human-like intelligence and emergent intelligence from embodied interactions in rich ecosystems. His work spans computer vision, machine learning, and robotics, including generative modeling and self-supervised representation learning. He earned his bachelor's from Yale and his PhD in brain and cognitive sciences from MIT, then was a visiting researcher at OpenAI before joining MIT's faculty in 2018. Honors include the PAMI Young Researcher Award (2021) and a Sloan Research Fellowship (2022).

our team

founders

Zoya Bylinskii

Aude Oliva

advisors

Charles Dye

Alyosha Efros

Zeke Koch

Antonio Torralba

Phillip Isola

partnerships