My research is focused on investigating the editing of unwanted memories during human sleep and understanding the neural mechanisms underlying memory-related psychiatric disorders, with a particular emphasis on PTSD. To achieve this, I utilize innovative techniques such as targeted memory reactivation, sleep learning, and auditory stimulation to uncover the neural processes involved in memory processing during sleep and develop interventions that can selectively modify unwanted memories. I also study the role of neural oscillations during sleep in memory consolidation and modulation, and how disruptions to these processes can contribute to the development of PTSD. Ultimately, my aim is to develop a better understanding of memory-related psychiatric disorders and to create novel interventions that can help those who suffer from these conditions.

My research focuses on how fear are processing during sleep. Among the various sleep stages, I have a particular interest in rapid eye movement (REM) sleep. I'm currently investigating the roles of REM and NREM sleep in reducing fear overgeneralization, using techniques like EEG, fMRI, PSG, and behavioral models.
I plan to further explore the functional role of REM sleep on emotional memory by applying machine learning and representational similarity analysis. Which will help me better explain sleep-dependent emotional memory and potentially contribute to treating memory - related disorders.

My research primarily centers around social cognitive neuroscience, sleep, memory and memory-based decision making. Specifically, I am currently investigating how social knowledge, evaluations and attitudes can be formed and updated through social learning, as well as the editing of memories during both waking and sleeping states. Another area of focus for me is exploring the transformation and updating of emotional memories, with a particular emphasis on how (pro)social behavior may interact with this process. I utilize a variety of tools and methodologies, including EEG, eyetracking, mousetracking, and behavioral modeling. Additionally, I am eager to integrate more computational social science and neuroscience approaches into my work.

My research focuses on exploring the relationship between episodic and temporal memory. The primary objective is to determine whether forgetting of event content is the cause of temporal compression during retrospective duration judgments. Additionally, I am investigating how event boundaries impact our judgments of event duration. I plan to conduct further research on this topic by analyzing neural activity when people make retrospective duration judgments using ERP and RSA analysis.

I am currently researching memory updating in the context of misinformation. Specifically, I am interested in neural activity when true or false information is encoded, and how that influences memory retrieval. I examine familiarity and recollection through ERP components such as LPC, FN400 and P300, and will also be applying multivariate EEG analysis in the future.

I intend to conduct studies on sleep and emotional processing. Sleep is known to play a crucial role in memory consolidation. Emotion enhances memory longevity and vividness, so it is intriguing to consider how emotional factors enter into sleep-mediated memory computation. Multimodal neuroimaging techniques (fMRI, EEG) and targeted memory reactivation during sleep will be utilized to solve the concerns.

I am dedicated to comprehending neural processes of memory and investigating effective interventions for memory enhancement for general and at-risk populations. Specifically, I am interested in how the interplay between the hippocampus and prefrontal cortex helps us to perceive natural breakpoints, or event boundaries and organize the distinct experience into mnemonic events. Secondly, I am curious about whether and how targeted memory reactivation (TMR), which utilizes semantic cues to consolidate people’s memory during sleep, can be adopted to improve adults’ memory. To quantitively examine the interaction between each brain area, I am desirous of using multiple neuroimaging techniques, such as electroencephalography (EEG) in my studies.

My research interest focuses on examining the emotional memory processing in individuals suffering from insomnia, specifically during memory retrieval. Via EEG, I want to identify unique neurological markers that distinguish individuals with insomnia from healthy sleepers. Furthermore, I am dedicated to using machine learning to train models for early insomnia detection by utilizing these neurological markers as features. Finally, I am also interested in how targeted memory reactivation (TMR) can improve the benefits of cognitive therapy.

I am interested in how to alleviate negative emotional memories during sleep. Previous studies and theories have suggested that rapid-eyes-movement sleep (REM) plays a key role in the processing of emotional memories. Targeted memory reactivation (TMR), which provides a way to manipulate human memory during sleep, can be effective for healthy people and patients (e.g. PTSD) suffering from negative emotional memories. So more specifically I will look at whether TMR can intervene in negative emotional memories during REM and the mechanisms involved.

My research interest lies in decoding neural activity during sleep. My recent work focuses on applying statistical models to analyze sleep EEG data, aiming to uncover neural activity associated with memory processing as neural activity in humans differs significantly between wakefulness and sleep, with the latter exhibiting higher levels of noise and uncertainty which poses a challenge for accurately extracting meaningful information from neural activity during sleep.