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James DiCarloView profile

Professor

• Neuroscience
• Machine Learning
• Computational Biology
• +4 more

James DiCarlo is the Peter de Florez Professor of Neuroscience and Department Head in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT). He is also an Investigator at the McGovern Institute for Brain Research at MIT. His research bridges neuroscience and machine learning to study neuronal mechanisms underlying visual object recognition and cortical computations. Dr. DiCarlo earned his Ph.D. in biomedical engineering and M.D. from The Johns Hopkins University in 1998, followed by postdoctoral training in primate visual neurophysiology at Baylor College of Medicine. He joined the MIT faculty in 2002 and received tenure in 2009. His research utilizes large-scale neurophysiology, brain imaging, optogenetics, and computational simulations to explore how visual representations are formed in the brain. This work has implications for advancing machine vision systems, developing neural prosthetics, and understanding conditions like agnosia, autism, and dyslexia. His recent publications focus on deep learning models, cortical computations, and invariant object recognition. Scientific Awards: Alfred Sloan Fellow Pew Scholar in the Biomedical Sciences McKnight Scholar in Neuroscience Dr. DiCarlo's lab investigates the intersection of neuroscience and artificial intelligence, aiming to decode and replicate the brain's visual processing capabilities for technological and medical applications.

Karol ChlastaView profile

Assistant Professor

• Artificial Intelligence
• Artificial Neural Networks
• Machine Learning
• +7 more

Dr. Karol Chlasta serves as an Assistant Professor in the Faculty of Management in Networked and Digital Societies at Kozminski University in Warsaw. He earned his doctoral degree in engineering and technical sciences from the Polish-Japanese Academy of Information Technology in 2023, defending his dissertation "Neural Simulation Pipeline for Liquid State Machines" with distinction (summa cum laude). His academic journey includes a Master's degree in Economic Computer Science from the University of Economics in Krakow (2008) and postgraduate studies in Business Analytics at Warsaw University of Technology (2015). Dr. Chlasta's research spans artificial intelligence, particularly neural networks and machine learning, human-computer interaction, and information management. His recent publications demonstrate expertise in AI applications for mental health screening through eye-tracking and speech analysis, sentiment analysis of social media data for migration studies, and innovative virtual reality interaction techniques. He has published consistently from 2020-2024 across multiple high-impact venues, with his work appearing in journals like Frontiers in Psychology, European Psychiatry, and Telematics and Informatics Reports, as well as conferences including ACM DIS and IEEE VR. His scientific contributions form several interconnected research threads: AI-based diagnostic systems for depression, anxiety, and dementia through biometric analysis Computational neuroscience tools including the Neural Simulation Pipeline deployable in cloud environments Sentiment analysis of social media data to understand migrant experiences during the pandemic Novel interaction techniques like VXSlate for virtual reality environments Dr. Chlasta has received notable recognition including the Scholarship of the Minister of National Education and Sport (2006) and the "Outstanding Leader" award from Aviva's global CIO (2017). His interdisciplinary approach bridges technical AI expertise with practical applications in healthcare, migration studies, and human-computer interaction. With over fifteen years of industry experience at major organizations including HP, IBM, and Aviva, Dr. Chlasta brings substantial real-world perspective to his academic work. Since 2022, he has served as Head of Technicus Poland, where he established and manages the Polish branch while developing the company's global IT and cybersecurity functions. He is also a certified specialist across multiple enterprise technologies and a member of several professional organizations including ACM and IEEE. His research approach integrates academic rigor with practical problem-solving, focusing on developing tools that address real-world challenges in mental health screening, migration support, and virtual interaction environments.