Postdoctoral Fellow · Incoming Assistant Professor
Dan‑Mircea Mirea
I am a MindCORE Postdoctoral Fellow at the University of Pennsylvania. I recently completed my PhD in Psychology at Princeton University, where I split my time between the Niv Lab and the Logic of Emotion Lab. Before that, I studied Natural Sciences at the University of Cambridge.
I study the psychology of mental health in the digital age. My work has two facets: (1) understanding the psychological processes underlying mental health and psychotherapy with the aim of improving treatment outcomes, and (2) understanding the impact of digital technologies on mental health and designing better digital experiences. I use a variety of methods, including controlled and field experiments, large-scale digital behavior, cognitive modeling, and large language models.
I'm super excited to join the University of Miami as an Assistant Professor of Psychology in summer 2027. I am planning to recruit a PhD student this cycle through either the Clinical Psychology or the Psychological Sciences program. Please reach out if you're interested in working with me as a grad student, lab manager, or postdoc!
News
-
Started as a MindCORE Postdoctoral Fellow at the University of Pennsylvania.
-
Successfully defended my PhD in Psychology at Princeton, surrounded by colleagues, friends, and family. See the post.
-
Our new paper in JAMA Psychiatry, "The reinforcement effect of social media likes in depression," is out, along with an accompanying editorial. For a less technical summary, check out my interview on the JAMA Psychiatry podcast.
-
Attended the Young Futures Block Party, where I received a Research & Academia Award for my research on digital mental health. Read more.
-
Super grateful to receive a Charlotte Elizabeth Procter Honorific Fellowship from Princeton, distinguishing my dissertation work and supporting my final year of study. Read more.
-
Gave a flash talk at the Psychology of Technology Conference, which you can watch here.
-
New review in Trends in Cognitive Sciences: "Cognitive modeling of real-world behavior for understanding mental health."
-
RLDM 2025 was so fun! The highlight was co-organizing a workshop on Reinforcement Learning in the Wild. I also got to hang out in the Gillan Lab and the Cambridge Digital Mental Health Group before and after.
-
Honored to receive a Psychology of Technology Dissertation Award from the Psychology of Technology Institute. Read more.
-
Thankful to the Society for Affective Science for the Diversity Award.
-
Thrilled to receive an Exemplar Mentor Award from the Princeton McGraw Center for Teaching and Learning.
Publications
Journal Articles
-
2026
The reinforcement effect of social media likes in depression
-
2026
Stage 1 Registered Report: Testing the longitudinal and causal effect of social media rewards on mood and mental health in young adults
-
2026
A reporting checklist for large language models in behavioural science
-
2025
Cognitive modeling of real-world behavior for understanding mental health
-
2025
Big team science reveals promises and limitations of machine learning efforts to model the physiological basis of affective experience
-
2025
Emotions Shape Effort-Reward Choices: Positive Valence Decreases Effort, Except Under High Arousal
-
2024
GPT is an effective tool for multilingual psychological text analysis
-
2024
The ubiquity of time in latent-cause inference
-
2021
The impact of an online psychiatric assessment on the mental health and wellbeing of participants presenting with depressive symptoms: longitudinal observational study
-
2021
Towards an extended definition of major depressive disorder symptomatology: digital assessment and cross-validation study
-
2021
A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data
-
2019
Comprehensive identification of RNA-protein interactions in any organism using orthogonal organic phase separation (OOPS)
Preprints & Under Review
-
—
Semantic similarity between clients and their therapists predicts alliance and treatment outcomes in large-scale digital psychotherapy
-
—
The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning
-
—
Anxiety modulates event segmentation
-
—
A collective review on some potential negative impacts of smartphone and social media use on adolescent mental health: Results from a Delphi process
-
—
Increasing Trust in Science via Accessible Communication: A Social Ecological Approach
* denotes equal contribution.