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Principal Investigator

  • Associate Professor of Psychiatry; Associate Professor on Term, Chronic Disease Epidemiology

    Research Interests
    • Mendelian Randomization Analysis
    • Biological Psychiatry
    • Gene-Environment Interaction
    • Genetic Predisposition to Disease
    • Genetic Research
    • Genetics
    • Genetics, Behavioral
    • Genetics, Medical
    • Genetics, Population
    • Genome-Wide Association Study
    Computational biologist with a focus on biological psychiatry, molecular epidemiology, and human evolution.
  • Associate Research Scientist; NRTP, Yale Department of Psychiatry

    Clinician-scientist, broadly interested in developing approaches for biologically informed diagnosis, subtyping, prognostication, and treatment selection for the mental health field. Human subjects genetic epidemiology, genome-wide expression and association studies. Epidemiological studies of using electronic health records to characterize treatment practices and emulate clinical trials. Application of machine-learning and language processing tools to electronic health records in order to yield phenotypic data for research ResearchGate Profile
  • Postdoctoral Associate

    Research Interests
    • Substance-Related Disorders
    • Suicide
    • Genetics
    • Genomics
    Dr. Cabrera-Mendoza joined Dr. Renato Polimanti's group in 2021. She completed her MD and PhD in the National Autonomous University of Mexico as part of the Plan of Combined Studies in Medicine (PECEM by its acronym in Spanish). During her PhD, she investigated genomic alterations associated with suicidal behavior. Her research focus on genetic and epigenetic changes associated with suicidal behavior and substance use disorders.
  • Psychiatry Resident

    I completed my medical training at Aristotle University of Thessaloniki in Greece at the height of the refugee crisis in the Mediterranean. Fascinated by transcultural psychiatry, I spent two years as a resident and rural doctor serving on the Greek island of Leros and the island's refugee reception center. The clinical practice sparked my interest in how healthcare information can be employed to refine psychiatric phenotypes, so I pursued a Master’s in Health Data Analysis at the Aristotle University of Thessaloniki, where I delved into psychiatric genetics. During my post-doctoral fellowship at Yale, I used electronic health records, wearable device data, and multi-omic information to understand the underlying causes of anxiety disorders in diverse populations and to explore the shared and distinct genetic factors across various psychiatric conditions. As a resident in the Yale Neuroscience Research Track, I will focus on using multidimensional patient-related information to improve clinical prediction, emphasizing enhancing representation in healthcare data.
  • Postdoctoral Fellow

    Dr. Jun He joined Dr. Renato Polimanti’s lab in the Yale Psychiatry Division of Human Genetics as a postdoctoral associate in late 2022. His research focuses on the etiology and prevention of major chronic non-communicable diseases using genetic, epidemiological and machine learning approaches. Specifically, he applies genetically informed causal inference analyses to understand the relationship between different brain-related outcomes, including psychiatric disorders, Alzheimer's disease, hearing difficulty, brain imaging phenotypes, and behavioral health. Dr. He is also a research associate of CSP #2006/MVP029: Genomics of Gulf War Illness (GWI) in the Million Veteran Program (MVP), where he investigates genetic and environmental factors that influence the onset of GWI. In 2024, he received a Postdoctoral Research Fellowship Innovation Grant from the American Foundation for Suicide Prevention (AFSP) to fund his research on genetic mechanisms and risk prediction of suicide. Dr. Jun He received his BS, MPH and PhD degrees from Central South University Xiangya School of Public Health. In his PhD, he investigated the effects of socioeconomic status, behavioral factors, and major historical events on the development of chronic diseases, and established a high-performing predictive model for metabolic syndrome using a next-generation machine learning framework, which won the First Prize in Hunan Province at the 2022 (8th) National University Statistical Modeling Competition.
  • Research Associate 2, HSS

    Research Interests
    • Diabetes Mellitus
    • Cognitive Behavioral Therapy
    Hector L. Morales, Sr., MPH, received both his Bachelors and Masters Degree in Public Health from American Military University in 2018 and 2020, respectively. He is currently a doctoral candidate while working in clinical research at The Yale School of Medicine Department of Psychiatry. His Public Health experience includes consulting, research, and other Public Health settings, including an ambulatory and surgical center background. In his leisure time, he enjoys spending time with his son, traveling, and training in Martial Arts.

Alumni

  • Carolina Muniz Carvalho, postgrad 2018-2019
  • Aranyak Goswami, postdoc 2019-2020
  • Devon Cormier, research associate 2021-2022
  • Frank Wendt, postdoc 2018-2022
  • Flavio De Angelis, associate research scientist 2020-2022
  • Nico Valencia, visiting undergrad 2022
  • Linh Duong, associate research scientist 2021-2022
  • Necla Aydin, visiting undergrad 2022
  • Manuela Kouakou, postdoc 2022-2023
  • Mihaela-Diana Zanoaga, postgrad 2022-2023
  • Solveig Løkhammer, postgrad 2023
  • Wander Valentim, postgrad 2023
  • Zeynep Asgel, postgrad 2023
  • Mark Horvath, research associate 2022-2023
  • Brendan Stiltner, postgrad 2022-2023
  • Dora Koller, postdoc 2020-2023
  • Antonella De Lillo, postdoc 2021-2023
  • Luciana Di Lascio, visiting undergrad 2023
  • Rohit Jha, visiting undergrad 2023
  • Simran Jain, summer intern 2023
  • Giovanni Deiana, postgrad 2023-2024
  • Christopher Van Tassel, summer intern 2024
  • Gita Pathak, postdoc 2019-2024
  • Ana Makharashvili, research associate 2022-2024
  • Aislinn Low, postgrad 2022-2024
  • Jie Shen, laboratory associate 2022-2024
  • Abigail Pilcher, postgrad 2023-2024