Sven Bambach is part of the data science team at The Research Institute at Nationwide Children's Hospital, working alongside physicians and other researchers, providing expertise in deep learning, general machine learning and data mining, as well as computer vision. He received a joint Ph.D. in Computer Science and Cognitive Science from IU in 2016. He completed a postdoctoral fellowship in 2018 in the School of Informatics, Computing, and Engineering. Sven has an extensive background in computer vision, particularly focusing on analyzing videos and photos from first-person (egocentric) cameras that approximate a person's field of view. Motivated by the recent success of deep learning models in vision, and inspired by many collaborations with developmental psychologists who use wearable cameras to study visual learning in infants and toddlers, Sven's past work aimed at exploring interdependencies between human and machine learning. To what extend can artificial vision models help us understand and analyze the statistics of an infant's visual input, and conversely, how can we utilize the ease and efficiency that toddlers show when learning to recognize new concepts to improve our A.I. models?

Umay Suanda is an Assistant Professor of Psychological Sciences and a Faculty Affiliate of the Institute for Brain and Cognitive Sciences at the University of Connecticut. He received his B.A. in Psychology in 2005 from Wesleyan University and his Ph.D in Psychology in 2012 from Emory University. He completed a post-doctoral fellowship in developmental and cognitive science in 2017 at Indiana University. His research focuses on the real-time dynamics of early parent-toddler interactions, how parents and toddlers shape those interactions, and how these interactions in turn shape early language learning. He is the past recipient of graduate and post-doctoral fellowships from the National Science Foundation and a Pathways to Independence career development award from the National Institutes of Health. http://psych.uconn.edu/faculty/umay-suanda/

Lauren Slone is a postdoctoral fellow in the Department of Psychological and Brain Sciences. She received her B.S. in Biological Sciences and Psychology in 2009 from Carnegie Mellon University and her Ph.D. in Psychology in 2015 from the University of California, Los Angeles. She is the past recipient of graduate and post-doctoral fellowships from the Jacob K. Javits Foundation, the National Science Foundation, and the National Institutes of Health. Her research focuses on the real-time dynamics of early vocabulary acquisition and the sensorimotor processes that support this learning. Dr. Slone employs multiple behavioral methodologies, including micro-behavioral measures from naturalistic parent-child toy play interactions (e.g., high-density head-mounted eye tracking from the infants’ perspective) and laboratory-based experimental methods (e.g., screen-based eye tracking and word learning tasks), as well as computer vision and modelling techniques to characterize and model infants’ learning environment and learning process. You can find out more about her research at https://laurenkslone.wordpress.com/

Jeremy Borjon is an NSF postdoctoral research fellow in the Department of Psychological and Brain Sciences at Indiana University, Bloomington. He completed his PhD in Psychology and Neuroscience at Princeton University with Asif Ghazanfar and was funded by the National Science Foundation's Graduate Research Fellowship Program. Dr. Borjon was previously the Simons Fellow in Computational Neuroscience at the Marcus Autism Center in Emory University, working under the supervision of Ami Klin and Warren Jones. He completed his A.B. in Psychology with a Certificate in Neuroscience at Princeton University under the supervision of Asif Ghazanfar and Alexander Todorov. His research is aimed at understanding how the autonomic nervous system shapes and guides behavior throughout the human lifespan. He leverages wireless motion capture, head-mounted eye tracking, and wireless autonomic physiology sensors to computationally reconstruct and dissect naturally occurring behavior. You can find out more about his research at www.borjon.net

Tyler Marghetis is at the Sante Fe Institute and is a Omidyar Research Fellow. He has also accepted an Assistant Professor position at the University of California, Merced, in Cognitive Science, starting Fall, 2020. He received his Ph.D. in Cognitive Science at the University of California, San Diego. He studies the limits of abstract thinking in humans, with a special focus on the role of culture, technology, and the body. You can read more about his work at www.tylermarghetis.com

Dr. Cesar F. Caiafa is an Adjunct Professor at the Faculty of Engineering, University of Buenos Aires and Independent Researcher at the Argentinean Radioastronomy Institute (IAR) - National Scientific and Technical Research Council (CONICET), ARGENTINA.He received the Ph.D. degree in engineering from the Faculty of Engineering, University of Buenos Aires, in 2007. He held a position as Research Scientist at the Lab. for Advanced Brain Signal Processing, BSI-RIKEN, JAPAN (2008 - 2010).He has published more than 25 research articles in referred Journals and authored more than 30 works presented in international conferences. You may find out more about his research work at http://web.fi.uba.ar/~ccaiafa/Cesar.html

Sophia Vinci-Booher is a postdoctoral researcher in the Department of Psychological & Brain Sciences at Indiana University - Bloomington. She holds a Ph.D. in Psychology and Neural Science, a B.S. in Biomedical Engineering, and a B.A. in French. Her research focuses on understanding how the brain changes and reorganizes throughout the lifespan. She is particularly interested in how specific sensorimotor training experiences contribute to brain changes and the relationships of these brain changes to learning. She assesses brain changes at both functional and structural levels using functional and diffusion MRI and she assesses learning through a variety of behavioral measurements. https://sophiavincibooher.weebly.com/ 

Hadar Karmazyn Raz is a PhD student of Psychological and Brain Sciences at Indiana University - Bloomington. She also received her B.S. degree from Indiana University – Bloomington in 2009. Her research in cognitive development, is focused on understanding statistical learning processes involved in language development.

Elizabeth Clerkin is a PhD student in Psychological and Brain Sciences at Indiana University under the advisement of Dr. Linda B. Smith. She received her B.A. in Psychology also from Indiana University in 2015. Her research interests relate to young children's learning of object names, particularly how the visual statistics of children's everyday environments help them create associations between visual objects and the words that refer to them. She is also interested in how skills such as visual processing, attention, and memory aid and impact word learning.

Dr. Erik Weitnauer is now Chief Technology Officer at Crossroads Education. He received his PhD in computer science in 2015 from University Bielefeld, Germany. In his thesis, he developed a cognitive process model of learning relational concepts through iterative perception of structured examples. For the last four years, Dr. Weitnauer has been researching and developing education technology at IUB. In his startup, Graspable Inc., he is working to make mathematics more intuitive to learn by developing an interactive algebra notation (https://graspablemath.com). Dr. Weitnauer is also working on bringing the benefits of retrieval-based learning into elementary classrooms.

I am a software engineer focusing on making super computers easier to use by researchers at IU. I am currently working for a project called Brain-Life at Pestilli Lab which is an online portal for neuro scientists to publish applications and allow users from diverse communities to analyze their neuro imaging data. I received B.S. in computer science and physics from Henderson State University in 2001. I've worked in the industry before joining Open Science Grid operations group at IU in 2008. I've been contributed for projects from various fields of science by implementing user interfaces and backend services.

Thomas Gorman is working toward a joint PhD in Psychology and Cognitive Science at Indiana University. He obtained his B.S. in Psychology at University of Wisconsin, Madison in 2015. His research revolves around issues in the transfer of learning. He conducts experiments to investigate different factors that promote learning transfer in humans, and develop computational models to help us better understanding the underlying processes through which transfer occurs.

Farnaz Zamani Esfahlani is a postdoctoral researcher in the Department of Psychological & Brain Sciences at Indiana University - Bloomington. She completed her Ph.D. in Systems Science at the State University of New York at Binghamton and received her M.S. in Biomedical Engineering from the same institution. Her research interests broadly fall in the intersection of network neuroscience and machine learning with the focus on understanding, predicting, and controlling brain-related disorders. She is particularly interested in developing data-driven techniques to study neural, symptom and emotional dynamics of psychiatric disorders.

Violet Xiang is currently pursuing a Masters degree in computer science at Indiana University, Bloomington. She received her B.S. in Informatics and B.A. in Mathematics from IU in 2016. She is interested in studying the intersection of human and machine vision, neuro-inspired machine learning and scientific applications of computer vision.

Willa Mannering is a PhD student working with Dr. Michael N. Jones at Indiana University. She completed her undergraduate degrees in Cognitive Science and Computing Science at IU, and began working with Dr. Jones in the fall of 2018. Her general interests are in decision making and evaluating computational models of human learning and memory, with particular emphasis on real-world applications of cognitive models. You can find out more about her research at https://willamannering.weebly.com

Jonathan Avery is a PhD student in Cognitive Science and Cognitive Psychology and is under the expert tutelage of Dr. Michael N. Jones in his Cognitive Computing Lab at Indiana University. He received his B.A. degree from the University of Nebraska. His primary research interests are in developing computational models to understand how humans integrate perceptual and linguistic information during learning. He is also interested in how humans search memory in strategic tasks, and the development of systems to assist in memory encoding and retrieval. You can find out more about his research at https://jeavery.weebly.com/