Founding Team

Arturo Deza ๐Ÿ‡ต๐Ÿ‡ช

Arturo completed his Bachelors in Science in Mechatronics Engineering (Summa Cum Laude) in 2012 at Universidad Nacional de Ingenieria, and later received his PhD from University of California, Santa Barbara in Dynamical Neuroscience in 2018 working under Miguel Eckstein. During his PhD, his work encompassed themes such as visual metamerism, peripheral processing, visual search and human-machine interaction. He then moved to Harvard University's Department of Psychology to work with Talia Konkle to explore the role of foveation in humans and machines. He is currently a postdoctoral research associate at MIT's Center for Brains, Minds and Machines working with Tomaso Poggio on theories of visual representational learning in humans and machines and biologically-plausible solutions to adversarial robustness. He has published works in ICLR, NeurIPS and CVPR, and is one of the co-founders of SVRHM.

Arturo is also an Artist.

You can find his CV here.

William Berrios ๐Ÿ‡ต๐Ÿ‡ช

In early 2022, (and in a spurt of 2 months) William wrote a paper that broke the world record in explainable variance for Area V4 in the BrainScore competition with an "outsider" flavor of computational models called "Vision Transformers" that have been suggested to be non-biologically plausible (Read his paper). William is currently following-up on this results at Artificio and at MIT's Center for Brains, Minds and Machines, as he prepares to apply for graduate school. William holds a Bachelors in Science in Mechatronics Engineering from Universidad Nacional de Ingenieria in Lima, Peru;

William is also All-Star in Latin American Kaggle competitions.

You can find his CV here.

Colin Conwell ๐Ÿ‡บ๐Ÿ‡ธ

Colin recently finished his PhD at Harvard University's Department of Psychology where he's worked at the Vision Sciences Lab advised by George Alvarez. Colin's graduate work has been at the heart of unifying human, machine (and sometimes mouse) visual computation which have earned him an affiliation at MIT's Center for Brains, Minds and Machines. An outsider from the beginning, Colin earned his B.Sc. in International Business and Comparative Literature at the University of Southern California; graduating Summa Cum Laude. Colin has published his works at NeurIPS, SVRHM (winning an award for the author with most accepted papers in 2021), VSS and CCN.

Colin is also a pioneer in the field of Computational Aesthetics.

You can find his CV here.

Binxu Wang ๐Ÿ‡จ๐Ÿ‡ณ

Binxu is currently a Neuroscience PhD student at Harvard Medical School where he is advised by Carlos Ponce. Binxu's original approach to research stems from his background in Physics where he obtained his bachelors from Peking University. Given his highly computational and mathematical training, some of Binxu's work lie at the edge of our understanding of visual computation in humans where he uses tools ranging from primate neurophysiology to purely computational approaches. Binxu recently won the Fujitsu Laboratories Fellowship for Brains, Minds and Machines Summer Course in the Summer of 2021, and recently published a paper on perceptual image optimization for Neural Control.

Binxu is a pioneer of Visual Art generated from neurophysiological data and mathematical models of perception.

You can find his CV here.

Junior Research Scientists

Raphi Kang ๐Ÿ‡บ๐Ÿ‡ธ

Raphi Kang is a Junior Research Scientist at Artificio who is jointly finishing her Bachelors in Science at MIT's new Computation and Cognition undergraduate course at the Department of Brain and Cognitive Sciences. She is currently doing an exchange semester abroad in Switzerland's ETH Zurich where she is learning about the mathematical foundations of computer graphics & vision, neural control of movement and motor learning. At Artificio, Raphi is working on a project that is driving our understanding around visual metamerism and adversarial robustness between humans and machines -- a project that she started at MIT's new 9.58 class; "Projects in the Science of Intelligence" in Fall 2021. Raphi's previous research experience spans work in Optical Flow in Machines to studying Cortical Dynamics in Mice, Macaques and Humans.

Raphi is also an Artist.

You can find her CV here.

Scientific Advisory Board

Apurva Ratan Murty ๐Ÿ‡ฎ๐Ÿ‡ณ

Ratan is a postdoctoral research associate at the McGovern Institute of Brain Research, with Jim DiCarlo and Nancy Kanwisher at MIT. He obtained his PhD in 2016 from the Centre for Neuroscience, Indian Institute of Science (IISc), Bangalore - India, where he was advised by S.P. Arun. At IISc he investigated the dynamics of invariant object representations and the computations by which information about object identity and image attributes combine in the macaque inferior temporal cortex. He is currently broadly interested in understanding the neural basis of visual object recognition in the ventral visual cortex in humans and non-human primates. He has published his scientific research in PNAS, Journal of Neurophysiology, Journal of Neuroscience and eNeuro, and is one of the co-founders of SVRHM.

Ratan is also a recent winner of the prestigious NIH and National Health Institute K99/R00 award.

You can find his CV here.

Nazim Haouchine ๐Ÿ‡ฉ๐Ÿ‡ฟ

Nazim is currently a Researcher within the Surgical Planning Lab (Boston, MA), a unit of Harvard Medical School and the Radiology Department of Brigham and Women's Hospital. The overaching span of his work revolves around image-guided simulation, augmented reality for deformable objects and 3D shape recovery of non-rigid surfaces with an application to surgery. Currently,he works with Sarah Frisken and is also a member of the GolbyLab and the National Center for Image Guided Therapy (NCIGT). Before joining the Surgical Planning Lab he was a Post-doctoral Research Fellow at IHU Strasbourg (France). He prepared his Ph.D. on augmented reality for hepatic surgery using soft-tissue simulation at the University of Lille (France) under the supervision of Marie-odile Berger, Stephane Cotin and Jeremie Dequidt.

Nazim's work is one of the world's leading experts using the SOFA framework.

You can find his CV here.

Tyler Bonnen ๐Ÿ‡บ๐Ÿ‡ธ

Tyler is currently in the last stretch of completing his PhD in Psychology at Stanford University's Wu Tsai Neuroscience Institute where he is jointly advised by Dan Yamins and Anthony Wagner. After dropping out of high school, Tyler began organizing with social and environmental justice movements throughout the United States and Sub-Saharan Africa. He returned to school at age 22; first attending Miami Dade Community College, then continuing his scientific training at Columbia University, the Max Planck Institute, and the Department of Brain and Cognitive Sciences at MIT. As an NSF Graduate Research Fellow at Stanford, his PhD integrates biologically plausible computational models, neural data, and animal behavior, in order to better understand the neurobiology of memory. It is Tylerโ€™s hope that understanding these principles will -- alongside more just social institutions -- enable us to develop more grounded healing practices.

Tyler has recently published a game-changing article on the mechanisms of object perception in humans.

You can find his CV here.

Artificio is currently operating virtually, and plans to continue to do so in the future. However, in the near future, we will be organizing retreats twice a year for the team to exchange research ideas and forge stronger relationships within the work-place.