معرفی
Pascal Wallisch is a Clinical Professor of Data Science, Psychology, and Neural Science at New York University, affiliated with the College of Arts & Science. His research focuses on understanding how subjective reality is constructed through perception and cognitive processes. He holds a PhD in Cognitive Neuroscience from the University of Chicago and has held progressively senior roles at NYU since 2007, including Post-Doctoral Fellowships and Clinical Professorships across departments.
Education:
- PhD in Psychology (Cognitive Neuroscience), University of Chicago, 2007
- MA in Psychology, University of Chicago, 2004
- B.A. (Vordiplom) in Psychology, Free University of Berlin, 2000
Research Interests: Wallisch explores perceptual ambiguity, subjective reality construction, and interdisciplinary applications of data science in neuroscience. His work bridges cognitive psychology, computational modeling, and behavioral analysis, with notable studies on phenomena like 'The Dress' illusion and motion perception. He emphasizes educational innovation, including computational neuroscience training through platforms like Neuromatch Academy.
Key Research Trends: Recent publications highlight themes in AI-assisted learning, perceptual disagreement mechanisms, and the neural basis of social behaviors. His work often integrates data-driven approaches to address questions in perception, psychopharmacology, and social psychology.
Awards & Honors:
- 2021/22 CAS Teaching Innovation Award
- 2020 Teach/Tech Award
- 2016 Golden Dozen College Teaching Award
- Multiple postdoctoral and graduate fellowships from NIH, University of Chicago, and German academic institutions
Grants & Advising: While specific grants are not listed, his roles reflect sustained institutional support. He has advised numerous students in interdisciplinary neuroscience and data science programs, fostering collaborative research environments like the FoxLab (https://www.foxlabnyu.com/).
Labs & Teams: Associated with the FoxLab at NYU, focusing on computational neuroscience, perception, and educational technology. Collaborates across NYU’s Center for Data Science, Psychology, and Neural Science departments.
