Megan Chen (she/her)

@megancchen.bsky.social

Research Assistant UMich mHail Lab 〽️ | NYU Psychology Alum 🗽| computational/quantitative methods to study the complex and dynamic processes underlying suicide and psychopathology 👩‍💻

New pub🚨 Primary outcomes from a pilot RCT of Cognitive-Behavioral Suicide Prevention for Psychosis (CBSPp) Coordinating this project was the highlight of my time as Research Coordinator & Lab Manager with Dr. Bornheimer, and it’s so exciting to finally share our findings!

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Hi friends, we have a new publication in Adversity and Resilience Science doi.org/10.1007/s428... on parental childhood adversity, parenting-specific emotion regulation, and child mental health in SGM parents w/ @vjrp.bsky.social @mingcong.bsky.social @antoniayuxinhua.bsky.social and Kiyan Irani.

Differential Associations from Parental Childhood Adversity to Child Psychopathology: Evidence from Sexual and Gender Minority Families - Adversity and Resilience Science

Abstract Adverse childhood experiences (ACEs) contribute to intergenerational transmission of psychopathology, yet limited work has examined how distinct dimensions of parental ACEs (i.e., threat and deprivation) interact with parenting-specific emotion regulation (ER) in relation to child outcomes in sexual and gender minority (SGM) families. We applied linear regression to examine how threat- and deprivation-based parental ACEs are differentially associated with child psychopathology, and how these associations vary by parenting-specific ER strategies among 568 SGM parents of children aged 3–17. Parental deprivation-based ACEs, suppression, and rumination predicted more child psychopathology symptoms whereas adaptive parenting-specific ER predicted fewer symptoms. Furthermore, low suppression amplified threat-based associations between ACEs and child outcomes whereas high suppression amplified deprivation-based associations between ACEs and child outcomes. Findings are consistent with differential patterns of association between parental ACE dimensions, parenting-specific emotion regulation, and child psychopathology. Parenting-specific ER may represent a potentially modifiable parenting-related process and a potential target for future intervention research. Key Findings Deprivation-based childhood adversity in parents was linked to higher child psychopathology. Parenting-specific emotion regulation showed independent effects, with adaptive strategies relating to lower child psychopathology and suppression and rumination relating to higher child psychopathology. Suppression moderated these associations, suggesting that parenting-specific emotion regulation may be an important target for future intervention research. Differential Associations from Parental Childhood Adversity to Child Psychopathology: Evidence from Sexual and Gender Minority Families.

doi.org

To celebrate the openESM paper release, I wrote a brief blog post summarizing recent developments: openesmdata.org/blog/2026-07... We: 💠added more data 💠provided descriptive visualizations for each item 💠created a semantic similarity mapping for items, making it easier to find related items

Updates: Paper published, new dataset & features

Our tutorial paper on openESM has been published, and we have added new datasets and features to the platform.

openesmdata.org

Daniel Heck@danielheck.bsky.social · 4w ago

Our article introducing the #openESM database for experience samling data, led by @bsiepe.bsky.social, has now been published 🎉 Paper: link.springer.com/article/10.3... openESM interactive website: openesmdata.org GitHub repository: github.com/openesm-proj...

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What predicts mental health disorders' onset and treatment success? Join our free #CCN2026 satellite meeting on the latest computational cognitive neuroscience parsing the multi-scale, dynamical systems of disorders that emerge across development, symptom expression, presentation & treatment.

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We’re excited to announce that our amazing graduate student, Claire Cusack, received the Outstanding Student Researcher Award from SSCP!🎉 This award recognizes her outstanding contributions to clinical psychology research under the mentorship of Dr. Cheri Levinson. Congratulations, Claire!

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🚨HOT OFF THE PRESS! With my amazing team at @umich.edu, we find that we can use machine learning models to predict next-day passive suicidal ideation with high accuracy in at-risk youth. Within-person, time-varying features captured by daily diary outperformed baseline predictors.

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