Paul is a computational cognitive neuroscientist who develops formal models of learning and planning, and their aberrations in various psychopathologies. Paul's work has been published in top outlets in the field, including Nature Human Behaviour, Trends in Cognitive Sciences, Current Directions in Psychological Science, eLife, and Psychological Medicine. Paul is excited to work with aspiring trainees at any level with psychology, neuroscience, and computer science backgrounds.

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Daniel is joining the Sharp Lab at Bar-Ilan University as a Postdoctoral Researcher. Daniel is completing a Ph.D. in Cognitive Psychology at Tel Aviv University with Prof. Dominique Lamy, studying how recent experience shapes attention and action. Daniel brings expertise in eye-tracking, Bayesian modeling, and machine learning, honed in part as a data scientist at Skai, and holds an M.A. (summa cum laude) from Tel Aviv University and a B.A. in Psychology and Philosophy from Ben-Gurion University.

Diana is interested in studying social anxiety and body dysmorphia with computational methods, and is currently working on modeling social causal inference in social anxiety with multi-agent reinforcement learning. Diana completed an M.S. in Cognitive Sciences and Technologies at HSE University in Moscow, developing machine-learning methods to localize epileptic zones from MEG and sEEG data, and a B.A. in Theoretical and Applied Linguistics (summa cum laude) at Lomonosov Moscow State University. Diana also brings industry experience in natural language processing and EEG-based modeling of mental disorders.

Noam is broadly interested in computational psychiatry, and is currently working on modeling the difference between core and strong beliefs, and how the former may be harder to revise than the latter. Noam completed an M.A. in Psychology and Data Science at Ben-Gurion University, studying attention and social media engagement in Prof. Andrea Berger's lab and cognition in clinical populations in Prof. Yoav Kessler's lab. Noam also holds a B.A. in Psychology and Management from Ben-Gurion University.

Adi is a second-year MA student interested in how worry is related to biased planning, and has pioneered work on how worriers may overcheck their model-based computations due to a lack of confidence in their revaluations. Adi completed his B.A. in Psychology and UX/UI at the Academic College of Tel Aviv - Jaffa.

Dafna is a second-year MA student interested in how planning models can shed light on the capacity and efficiency of model-based reasoning in aging, and help explain cognitive decline. She received her BA in Molecular Biology with a certificate in Neuroscience from Princeton University.

Noa is a second-year MA student interested in the impact of inter-trial intervals on learning, and whether their effect is mediated by replay or by time costs. She graduated with a BA in the honors psychology program at BIU.

Rotem is a second-year MA student studying offline learning and its role in ADHD. His thesis work is developing new task designs that separate people who replay less from those whose replay is biased. The aim is to test whether ADHD disrupts offline consolidation as a general reduction in replay or as a disruption in goal-relevant replay.