Associate Researcher @ Laboratorio de Inteligencia Artificial Aplicada, Instituto de Ciencias de la Computación, FCEyN–UBA / CONICET
Professor @ Computer Science Dept., FCEyN–UBA
Head @ Maestría de Ciencia de Datos, FCEyN / FI, UBA
Mail: juank at dc uba ar
Bio
I’m currently Research Scientist at the Applied Artificial Intelligence Lab, Compute Science Institute (FCEyN, UBA – CONICET), Professor at the Computer Science Dept., Compute Science Institute (FCEyN, UBA), and head of the Master on Data Mining (FCEyN, UBA).
I completed my undergraduate thesis in Physics studying adult neurogenesis with Alejandro Schinder (Neuronal Plasticity lab, Fundación Instituto Leloir). I continued my research path combining Physics and Neuroscience during my PhD, studying the organization of cognitive processes with Mariano Sigman (Integrative Neuroscience Lab, Physics Dept., FCEyN, UBA) where we started co-registering EEG and eye movements. This was pioneering work in an emerging field, showing for the first time a comparison between free eye movement and fixed gaze ERPs and paving the way for studying brain activity in naturalistic scenarios. During my posdoc, we worked in collaboration with Sebastián Lipina (Unit of Applied Neurobiology, CEMIC-CONICET) studying the impact of socioeconomic variables on brain processes underlying cognitive control in children in contexts of social vulnerability. Finally, in 2013, I moved to Computer Science Department as a researcher, I carried out my research activities as PI or Co-PI of several funded grants; and supervised or co-supervised graduate and undergrad theses in Computer Science, Physics, Biology, Engineering, Psychology, and Lingüistics.
Research Interest:
My main research focus is on studying brain activity during naturalistic tasks. On the one hand, we use M/EEG, eye tracking, and computational models to study how the brain combines local and global information along a scanpath throughout an image or text. And, on the other hand, we study the impact of socioeconomic variables on brain processes underlying cognitive control in children in contexts of social vulnerability, developing tools to be able to measure outside the lab.
Publications
Selected publications:
- Bujia G, Sclar M, Vita S, Solovey G, Kamienkowski JE “Modeling human visual search in natural scenes: A combined Bayesian searcher and saliency map approach” (2022, Frontiers in Systems Neuroscience) [link]
- Kamienkowski JE*, Varatharajah A*, Sigman M, Quiroga RQ, Ison MJ, “Parsing a mental program: Fixation-related brain signatures of unitary operations and routines in natural visual search” (2018, NeuroImage) [link]
- Kamienkowski JE*, Ison MJ*, Quiroga RQ and Sigman M “Fixation-related potentials in visual search: a combined EEG and eye tracking study” (2012, Journal of Vision) [link]
- Kamienkowski JE, Pashler H, Dehaene S y Sigman M “Effects of practice on task architecture: Combined evidence from interference experiments and random walk models of decision-making” (2011, Cognition) [link]
- Bianchi B, Bengolea Monzón G, Fernández Slezak D, Ferrer L, Shalom DE, and Kamienkowski JE “Predicting human predictability of words on written language based natural language processing models” (2020, Scientific Reports) [link]
- Pietto ML, Giovannetti F, Segretin MS, Rueda R, Kamienkowski JE and Lipina SJ “Conflict-Related Brain Activity after Individualized Cognitive Training in Preschoolers from Poor Homes” (2021, Journal of Cognitive Enhancement) [link]