Dr. DiCarlo was named Investigator at the M.I.T. McGovern Institute for Brain Research and Assistant Professor in the Department of Brain and Cognitive Sciences in 2002, and was promoted to full Professor and Department Head in 2012. He was named MIT’s Peter de Florez endowed professor in 2015. He received his M.D. and Ph.D. in Biomedical Engineering from Johns Hopkins University in 1998 and did his postdoctoral work at Baylor College of Medicine from 1998 to 2002. His research group is focused on understanding the neuronal representations and computational mechanisms that underlie visual object recognition in primates.
- Videos: DiCarlo on his group’s research and on Reverse Engineering the Neural Mechanisms of Human Visual Intelligence
- Video: DiCarlo (as BCS Department Head) on “Why study the brain?”
Kohitij (‘Ko’) got his PhD from Rutgers University in Neuroscience. He is currently interested in understanding the role of cortical feedback in object recognition. He is using large scale NHP electrophysiology along with insights from human psychophysics and computer vision models to guide his thought process. Additionally, he is also testing different chemogenetic tools and strategies in non-human primate models. Ko’s Website
Ratan received his PhD from the Centre for Neuroscience, Indian Institute of Science and joined the lab in July 2017. He is broadly interested in investigating the link between neural responses in the ventral cortex and perception/behavior, and how it unfolds over the course of development. As a joint postdoc with Nancy Kanwisher, he is currently setting up meso-scale high throughput neural recording techniques in macaques that would enable him to address some of these questions.
Tiago got his PhD in neuroscience at the Champalimaud Centre for the Unknown studying hierarchical circuits in the mouse visual cortex. He joined the lab in 2019 and is developing metrics to benchmark computational models of the primate ventral stream. In the future, he is interested in using these benchmarks to guide the development of better models of visual processing.
Yoon is interested in studying how the brain wires itself up to recognize objects. He joined the lab in 2020 and is investigating how the brain implements visual learning in the ventral stream using models, physiology, and psychophysics. Yoon got his PhD from the University of Texas in psychology.
Chong studied statistics/ML in Cornell University as an undergrad and got his PhD in neuroscience with Wade Regehr at Harvard University. As a postdoc, he now works at the intersection of ML and neuroscience. His two current projects are: 1. understanding how robust visual perception arise in the primate brain and 2. developing a deep neural network architecture for the dorsal stream of visual processing.
Michael joined the DiCarlo lab in 2016 after receiving his BSE in Electrical Engineering and Biomedical Engineering from Duke University. He is interested in studying downstream projection areas of the ventral stream, and how they utilize sensory representations to form functional knowledge of the visual world.
Martin is interested in the interface of computational models and the brain. His research focuses on using deep neural networks to build predictive models of the ventral stream, guided by neural and behavioral recordings. Together with Josh Tenenbaum, he is also working on expanding these approaches to language. Martin completed his Bachelor and Master degrees in Software Engineering in Germany (universities TUM, LMU and UNA), worked on recurrent visual processing at Harvard, and interned at Salesforce Research on architecture search for natural language processing.
Joel is a PhD candidate in Bioengineering at the Harvard School of Engineering and Applied Sciences, currently jointly advised by Jim DiCarlo and David Cox. Prior to this, Joel was the founding engineer at BioBright, and received his bachelors in neuroscience from Hampshire College. Joel’s interests are centered around neural computation and information processing in both biological and artificial neural systems..
Lab Manager and Technical Assistants
Chris received his PhD from Boston University where he was trained as a patch clamp electrophysiologist. He is currently the Research Laboratory Operations Manager of the DiCarlo Lab.
Kailyn joined the lab as the lab manager in 2010 and is currently the lead technician at the DiCarlo Lab at MIT.
Sachi joined the lab in 2018 as a technician.
Computer Programmer and Software Developer
Kamila Jozwik, PhD Kamila joined the lab in 2017 where she held a joint appointment with Nancy Kanwisher at MIT, and Zoe Kourtzi at the University of Cambridge as a Sir Henry Wellcome postdoctoral fellow. Kamila is interested in modeling the representations in the brain and behavior, for human and monkey, using deep neural networks. Kamila is now completing her fellowship in the lab of Dr. Kourtzi and remains an active researcher in our lab. Kamila’s Website
Hyodong (Hyo) Lee, PhD Hyo joined the Dicarlo lab in 2014 as a Masters student with interest in understanding the primate ventral stream and developing computational models. Prior to this, she received her bachelor’s in electrical and computer engineering from Cornell University. She completed her PhD in May 2020 and continued on as a postdoc until she started her position at Google in the Fall 2020.
Franziska Geiger Franzi joined the lab in 2019 as a Visiting Student. She primarily worked with Martin Schrimpf building the infrastructure for Brain-Score as well as pursuing her Masters Thesis project focused on building ventral stream models with fewer supervised synaptic updates but high brain predictivity and simulating how the ventral stream wires itself up. She is in the process of applying to graduate school.
Jocasta Manasseh Lewis Jocasta joined the lab in 2018 as a UROP. She worked with Kohitij Kar analyzing neural data and developing recurrent models of the ventral stream. She is in the process of applying to Fellowship programs to attend graduate school.
Pouya Bashivan, PhD Pouya joined the lab in 2016. He received his PhD in computer engineering from the University of Memphis. He completed his postdoc in January 2020 and is an Assistant Professor at McGill University in Montreal, Quebec, Canada. Pouya's Lab Website
Rishi Rajalingham, PhD Rishi completed his PhD in the DiCarlo lab in June 2018 and is now a Postdoc in the Jazayeri Lab at MIT. Prior to this time in the DiCarlo lab, he received his bachelor’s and master’s degrees in electrical engineering from McGill University. His research interests focus on understanding the neural processes underlying perception for brain-machine interface applications.
Jonas Kubilius, PhD Jonas joined the lab in 2015 and was awarded the Marie Skłodowska-Curie postdoc fellowship with Hans Op de Beeck (U of Leuven, Belgium) in 2016. Jonas completed his postdoc in 2019 and is the co-founder of Three Thirds AI consulting firm.
Darren Seibert, PhD Darren Completed his PhD in the DiCarlo Lab in July, 2018. He is now pursuing his MD at Upstate SUNY in Syracuse, NY.
Shay Ohayon, PhD Shay joined the DiCarlo lab in late 2014 after graduating from the CNS program in Caltech. Prior to that, he obtained his MS in computer science from the Israeli Institute of Technology (Technion). Shay developed minimally invasive probes for deep in-vivo fluorescence imaging that would enable him to tackle questions related to functional connectivity in the ventral stream. In February 2018, Shay joined a research group at Google.
Elias Issa, PhD Elias came to the DiCarlo Lab by way of Johns Hopkins. He studies object processing in inferotemporal cortex using fMRI and neurophysiology. In July 2017, Elias left for Columbia University to start his own lab. Elias' Lab Website
Arash Afraz, MD, PhD Published as Seyed-Reza Afraz up to Dec 2008, Arash got his MD from Tehran University of Medical Sciences and PhD in Psychology from Harvard University. Arash finished his postdoc in the DiCarlo lab in January, 2017 and is now a Principal Investigator at NIH. He claims to be interested in almost everything! Particularly in object vision, history and visual arts. Arash’s Lab Website
Ha Hong, PhD Ha completed his PhD in the lab in 2015. He in now an Investigator at Bay Labs, Inc., a small startup company in San Fransisco. Other than sciences, Ha is a big fan of beer, coffee roasting, cocktail, Chopin, electronics tinkering, Feynman, piano, swimming, and typography. Ha is from South Korea. Ha’s Website
Diego Ardilla, MA Diego joined the lab in 2013 and completed his Masters in 2015. Diego used crowdsourced psychophysics and neural networks to explore, understand, and/or close the gap between human and machine visual intelligence (especially object recognition). Broadly speaking, he is interested in finding ways to improve life for humans using technology, which he has also been working on using music. Diego now works for Google.
Xiaoxuan Jia, PhD Xiaoxuan joined the DiCarlo lab in 2012. Prior to this, she received her bachelor's degree from Tsinghua University in Beijing and PhD from Albert Einstein College of Medicine in NY. Her research interests focus on the ventral visual pathway and understanding the neural mechanisms underlying object recognition. She moved to San Francisco in 2015 and joined a small startup called mProbe, Inc. In 2016, she joined the neural coding group at Allen Institute for brain science.
Abhijit Bendale Abhijit was a visiting student from University of Colorado - Colorado Springs. He greatly enjoyed the lunch time conversations in DiCarlo Lab. He has a modest ambition of solving the problem of Object Recognition and enjoys mountain biking. Abhi’s Website
Alexander Papanastassiou, MD Alex comes from a background of neurosurgery, and has completed his project with Hans Op de Beeck studying learning effects with fMRI. He is currently back in the world of human neurosurgery.
Ben Kennedy Software Engineer/Programmer. Ben is from an electrical engineering background, and is interested in developing tools to further research in science. The lab’s server misses him deeply.
Benoit Corda Benoit was a Masters student from the University of Technology of Compiègne in France. He completed his M.Sc thesis (Computer Science /Artificial Intelligence) working on computational neuroscience inspired by recent neuronal and behavioral research in the lab. His project in the lab was organized around trying to apply different models to perform motion tracking. Benoit is currently at home in France.
Chou Hung, PhD Postdoctoral Researcher. Chou received his PhD at Yale, where he studied early visual processing in areas V1 and V2. Chou’s most recent work has been investigating the spike correlational structure of visual representation in IT and linking this representational structure across species (monkeys/humans). He recently moved his lab to Georgetown University. Chou’s Lab Website
Daniel Oreper Masters Student. Dan worked on a system for X-ray localization of electrodes in the brain, in pursuit of a Master of Engineering degree in Computer Science. Dan is currently working in Burlington, MA.
David Cox, PhD David obtained his PhD in April , 2007, from the Department of Brain and Cognitive Sciences. He went on to start his own lab at the Rowland Institute at Harvard and then became the John L. Loeb Associate Professor of the Natural Sciences and of Engineering and Applied Sciences at Harvard University. David is currently the Director of the MIT-IBM Watson AI Lab in Cambridge, MA. David’s Lab Website
David Doukhan David was masters student from the EPITA (France), where he majored in Artificial Intelligence and got involved in pattern recognition projects applied to music. His main project in the lab involved working on computational neuroscience projects as a Cell Be programmer using the PlayStation 3, among other projects. David is currently home in France.
Cesar Echavarria Cesar was a UROP in the lab and graduated from MIT in 2011.
Davide Zoccolan, PhD Davide obtained his PhD at the International School for Advanced Studies of Trieste (SISSA, Italy) with a thesis on the neural coding of sensory motor responses in the medicinal leech. While in the lab investigated the computational properties of inferotemporal neurons underlying object recognition in cluttered visual scenes. He now has his own lab at SISSA. Davide’s Lab Website
Edith Reshef Edith was a UROP in the lab and Edith graduated from MIT in 2011.
Ethan Solomon Ethan was a UROP/Technical Assistant in the lab and Graduated from MIT in 2011. He worked in the DiCarlo lab for a year before beginning his MD/PhD at UPenn.
Hans Op de Beeck, PhD Hans received his PhD at the University of Leuven (Belgium) where he studied the processes underlying visual shape categorization in monkeys and human subjects through single-unit physiology and psychophysics. As a postdoc in the lab he investigated the effect of learning on object recognition in monkeys and humans using fMRI in a collaboration between Jim DiCarlo and Nancy Kanwisher. Hans now is Professor in Cognitive & Systems Neuroscience and Director of Brain & Cognition at University of Leuven (Belgium). Hans’ Lab Website
Jennie Deutsch Jennie was the Lab Manager/Technical Assistant in the lab and is currently working at GlaxoSmithKlein as a LAS Lab Scientist in Philadelphia.
Marie Maloof Technical Assistant/Manager of BCS Teaching Lab. Marie splits her time between the lab and the BCS Teaching Lab (see the Courses section). Marie is currently working in another lab in BCS.
Marino Pagan Marino was a visiting student from Pisa, Italy. He worked with Nicole Rust and Najib Majaj.
Nicolas Pinto, PhD Coming from a loving and supportive Portuguese family, Nicolas was born in France where he graduated with two M.Sc. in computer science (Software Engineering and Artificial Intelligence). Attracted by multicultural experiences and highly motivated by exploring intellectual opportunities abroad, he studied in Brazil, Korea and Switzerland before coming to MIT to complete his degrees in Jim DiCarlo’s Lab. Nicolas received his PhD from the Department of Brain and Cognitive Sciences in December 2010. His current interests are in high-throughput computational neuroscience and biology-inspired silicon intelligence with emphasis on vision. Nicolas divides his spare time between sports, traveling and managing the music association he co-founded.
Mehdi Mirza Mehdi was a visiting student, working with the computational group. Having a background in Physics and Computer Science, he is interested in vision and object categorization problems and understanding how our brain does it and how machines could do it inspired by the brain. He is now pursuing his PhD in the Swiss Alps.
Nadja Oertelt Nadja first joined the lab as a UROP, and stayed to complete a variety of projects. She went on to work at the Rowland Institute with Dave Cox.
Nicole Rust, PhD Nicole obtained a PhD from New York University where she focused on computation and motion processing in visual areas V1 and area MT. The focus of her current work is to determine how selectivity, tolerance and sparseness interact and change along the object recognition pathway. Nicole has her own lab at UPenn. Nicole’s Lab Website
Nuo Li, PhD Nuo received his PhD from the Department of Brain and Cognitive Sciences in December, 2010. He completed his postdoctoral research at Janelia Farm, HHMI in 2016 and is currently starting his own lab as a faculty member at Baylor College of Medicine, Department of Neuroscience. Nuo's Lab Website
Najib Majaj, PhD Najib received his PhD from NYU, and completed a post-doctoral fellowship. He is currently a research scientist at NYU.
Patrick Mayo, PhD Patrick was lab technician and went on to obtain his PhD in Neuroscience in Marc Sommer’s lab at the University of Pittsburgh where he researched neural representations of time and their relation to visual and oculomotor function. Patrick now has his own lab at the University of Pittsburg School of Medicine. Patrick’s Lab Website
Paul Aparicio, PhD Paul obtained his PhD in February, 2013, from the Department of Brain and Cognitive Sciences. He then moved to become a postdoctoral research fellow at the National Institutes of Heath.
Yihvan Vuong, MEng Master of Engineering in Biomedical Engineering 2004. Yihvan is currently working near Washington, DC.
Tahereh Toosi Tahereh was a graduate visiting student from the Institute for Research in Fundamental Sciences (IPM) and is now a postdoc in the Issa lab at Columbia University. While in the DiCarlo lab, she worked on comparing two datasets under the linking hypotheses which describe human object recognition behavior based on the neural activity in monkey IT cortex. Also, she enjoyed lunchtime discussions, spontaneous late-night discussions, and long lab meetings.
Phil (Xiyuan) Zang Phil was a visiting graduate student from Mines ParisTech (Ecole des Mines de Paris), one of the most prominent French generalist engineering schools. He investigated benchmarks of image datasets to provide definite evolution force for vision models. Phil is also interested in high performance computer techniques, such EC2 cloud computing, MPI and GPU etc.
Youssef Barhomi Youssef was Masters student from Ecole Polytechnique in Paris, France. He is interested in human-machine interfaces. He worked with Nicolas Pinto on object recognition algorithms.