Our Team
Christoph Korn
Principal Investigator
Since December 2020, I've been an Assistant Professor (tenure-track) of Social Neuroscience at Heidelberg University in the Section Social Neuroscience, Department of General Adult Psychiatry. In 2018, I received an Emmy-Noether research group from the DFG on "Human cooperation: A multimodal approach," allowing me to establish a group at the Institute of Systems Neuroscience (UKE, Hamburg). Previously, I was a postdoc in Jan Gläscher's group at UKE and in Dominik Bach's group at the University of Zurich. I completed my PhD at Freie Universität Berlin in Hauke Heekeren's group, funded by the Berlin School of Mind and Brain. My Master's program included work with Ray Dolan and supervision by Tali Sharot. I hold a Bachelor's in Biomedicine from the University of Würzburg.
Lisa Doppelhofer
Graduate Student
I study social preferences and decision-making, focusing on how humans make optimal choices in social tasks and share payoffs. My PhD research also examines why borderline personality disorder patients struggle with cooperation, using game theory, computational modeling, and fMRI. Previously, I earned an MSc in Psychology (Mind and Brain Track) from the University of Vienna, where I researched placebo and nocebo effects on reinforcement learning at the SCAN-Unit under Isabella Wagner and Claus Lamm.
Sihui Zhang (张思慧)
Graduate Student
Before joining the DNHI-lab, I earned an MSc in Psychology at Beijing Normal University, studying the impact of emotions on prosocial behavior under Chao Liu. In the DHNI-lab, I will use behavioral testing, computational modeling, and fMRI to investigate how people make allocation decisions in cooperation, focusing on differences in individuals with adverse childhood experiences.
Sergej Golowin
Graduate Student
As a researcher focused on the pragmatic evolution of the human mind, I'm investigating the trade-off between robust and flexible decision strategies in our cognitive processes. My PhD work involves using foraging decision games with competing rules to study meta decision-making, employing both computational models for behavioral analysis and fMRI for neural insights. This research aims to shed light on psychiatric conditions like borderline personality disorder. My background includes an MSc from Taipei Medical University's International Graduate Program in Medicine, where I explored foraging decision-making under predation risk. Now at the DNHI-lab, I'm continuing to delve into the functional characteristics of the human brain, seeking to uncover the evolutionary circumstances that shaped our cognitive abilities.
Xiong Hu (胡雄)
Graduate Student
Before joining the DNHI lab, I earned my Bachelor's in Psychology from Hubei University and my Master's in Psychology from Capital Normal University. During my Master's, I worked in Wang Yan's Optimism Lab, initially focusing on dispositional optimism before shifting to an interest in unrealistic optimism/optimism bias. I conducted two behavioral studies on how feedback providers' warmth and competence affect receivers' optimism bias. For my doctoral research, I will use behavioral testing, computational modeling, eye tracking, and neuroimaging to explore how to enhance optimism bias in social interactions. I also aim to refine psychometric tests and develop a practical tool for measuring optimism bias, with additional research in design and environmental psychology. In my free time, I enjoy cooking, hiking, and flaneuring, with a particular skill in Chinese cuisine. I also play the guitar and am optimistic about improving my skills with my Fender Telecaster.
Dr. Ismail Guennouni
AIH Postdoctoral Fellow
I am a Postdoctoral fellow at the AI Health Innovation Cluster, working with the University of Heidelberg and the Z.I Mannheim to develop computational models of social interactions for adaptive gamified treatment approaches. I hold an MSc in Cognitive and Decision Sciences and an MRes in Computer Science (Machine Learning) from University College London, and a PhD in Experimental Psychology, specializing in experimental and computational approaches to strategic social interaction. My research focuses on social learning in mental health disorders, particularly exploring how cognitive interventions from leading psychotherapies can be integrated with computational behavior models to address social learning dysfunction.
Raphael Perla
Graduate Student
In my research, I utilize reinforcement learning and related computational methods to shed light on the mechanics of social learning and decision-making processes. Before joining the lab, I was affiliated with the University of Innsbruck's Digital Science Center, where I was involved in the ELSA project. This project primarily focused on investigating the prerequisites that enable embodied AI agents to master social affordances effectively, thereby enhancing their ability to communicate and collaborate seamlessly with humans. Now, at the DNHI lab, I specialize in all things quantitative, from designing experiments to analyzing data and developing computational models.
Jiatong Liu (刘嘉桐)
Graduate Student
I am curious about how humans navigate social landscapes under uncertainty. Specifically, I am interested in decision-making strategies during social interactions and the computational mechanisms behind them. In the DHNI lab, I will focus on cognitive neutrality in social decisions by implementing novel behavioral tasks and computational models based on reinforcement learning. Before joining the DHNI lab, I completed my MSc in Neural and Behavioral Sciences at the Eberhard Karls University of Tübingen. For my Master’s thesis, I worked on large-scale correlations of cortical spiking activity under the supervision of Prof. Markus Siegel.