Research output per year
Research output per year
Personal profile
Research interests
Dr. Dahlia Mukherjee is interested in inflammatory, neural and decision making correlates in major depressive and bipolar disorders. Her work aims to take a multi-method assessment approach to understanding the underlying mechanisms leading to and/or maintaining depression. Dr. Mukherjee is also interested in a more rigorous measurement-based care for the treatment of patients diagnosed with a mental illness. She is a member of the Penn State Psychiatry Clinical Assessment and Rating Evaluation System (PCARES) committee. PCARES is a system created to provide clinicians and patients with data to enhance clinical encounters and improve diagnostic accuracy of patients.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Postdoctoral Fellowship, Penn State College of Medicine
2015 → 2017
Psychology, Internship, Montefiore Medical Center
2014 → 2015
Clinical Psychology, PhD, University of Pennsylvania
2008 → 2015
MPhil, University of Glasgow
2003 → 2004
Applied Psychology, MS, University of Calcutta
2001 → 2003
Psychology, BS, University of Calcutta
1998 → 2001
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Collaborations and top research areas from the last five years
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Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care Management
Brozena, J., Blair, J., Richardson, T., Matthews, M., Mukherjee, D., Saunders, E. F. H. & Abdullah, S., May 11 2024, CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery, 356. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access6 Scopus citations -
Too little or too much: nonlinear relationship between sleep duration and daily affective well-being in depressed adults
Lee, S. A., Mukherjee, D., Rush, J., Lee, S. & Almeida, D. M., Dec 2024, In: BMC psychiatry. 24, 1, 323.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Daily Affective Dynamics in Major Depressive Disorder: The Role of Daily Stressors and Positive Events
Mukherjee, D., Lee, S. A. & Almeida, D., Dec 2023, In: Affective Science. 4, 4, p. 757-769 13 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Gender differences in transdiagnostic domains and function of adults measured by DSM-5 assessment scales at the first clinical visit: a cohort study
Saunders, E. F. H., Brady, M., Mukherjee, D., Baweja, R., Forrest, L. N., Gomaa, H., Babinski, D., He, F., Pearl, A. M., Liao, D. & Waschbusch, D. A., Dec 2023, In: BMC psychiatry. 23, 1, 709.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar Disorder
Blair, J., Mukherjee, D., Saunders, E. F. H. & Abdullah, S., Apr 19 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 496. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
7 Scopus citations