Anastasiya Nestsiarovich, M.D., Ph.D.
University of New Mexico Health Sciences Center
Dr. Anastasiya Nestsiarovich is a Postdoctoral Fellow at the University of New Mexico Health Sciences Center (UNMHSC), Department of Internal Medicine, Center for Global Health. Dr. Nestsiarovich received her M.D. degree from the Belarusian State Medical University (BSMU) in 2011, completed a BSMU Clinical Internship in “Psychiatry and Addiction Medicine” in 2012, and practiced psychiatry in Belarus for five years as a physician and a researcher. She performed epidemiological, psychometric, and biological studies in mental health.
After obtaining her Ph.D. degree in psychiatry from BSMU (2016), Dr. Nestsiarovich joined the multidisciplinary team headed by Dr. Christophe G. Lambert (2017) at the UNMHSC. She served as a key investigator in several of the largest comparative effectiveness studies on bipolar disorder treatments to date. Dr. Nestsiarovich’s research activity during the past 8 years resulted in presentations at numerous conferences, international awards, and more than 70 publications. She participated in several OHDSI meetings (OHDSI Collaborator Face-to-Face meeting 2017, OHDSI Symposium 2017 and 2019) and is currently continuing to work on large scale observational studies on psychotropic drugs used in bipolar disorder.
A Nestsiarovich, B Kerner, A J Mazurie, D C Cannon, N G Hurwitz, Y Zhu, S J Nelson, T I Oprea, M L Unruh, AS Crisanti, M Tohen, DJ Perkins, CG Lambert. Comparison of 71 bipolar disorder pharmacotherapies for kidney disorder risk: The potential hazards of polypharmacy. Journal of Affective disorders. 2019 Jan; 252:201-2011.
Nestsiarovich A, Mazurie AJ, Hurwitz NG, Kerner B, Nelson SJ, Crisanti AS, Tohen M, Krall RL, Perkins DJ, Lambert CG. Comprehensive comparison of monotherapies for psychiatric hospitalization risk in bipolar disorders. Bipolar Disord. 2018 Dec;20(8):761-771.
Praveen Kumar, Anastasiya Nestsiarovich, Stuart J. Nelson, Berit Kerner, Douglas J. Perkins, Christophe G. Lambert. Imputation and characterization of uncoded self-harm in major mental illness using machine learning. JAMIA journal (accepted 05 Sept. 2019).