Dr. Krishnamurti develops processes, (digital) tools, and communication strategies, grounded in psychological theory, to support informed decision making. Her work addresses critical challenges in healthcare by developing patient-centered interventions that identify and remediate health risks, particularly in maternal and mental health.
Dr. Krishnamurti's research has been funded by the National Science Foundation, the National Institutes of Health, and the Centers for Disease Control, as well as foundation and industry grants. She has participated in expert panels hosted by the Nobel Prize Summit, FDA, NIH, and National Academies. She co-founded a startup company, which uses behavioral science and machine learning to engage patients in their clinical care and holds multiples patents on methods for identifying patients at risk of adverse health events.
Dr. Krishnamurti’s work has been published in peer-reviewed journals such as PNAS, Medical Decision Making, and the JAMA family of journals. Her research was identified as an Idea of the Year in The New York Times and has been cited by major news organizations, such as The New York Times, NPR, and MSNBC. Dr. Krishnamurti is active on multiple scientific advisory boards and committees. She was the 2020 recipient of S&R Evermay’s Kuno Award for Applied Science for the Social Good.
Dr. Krishnamurti also gives academic lectures and participates in expert panels on digital health, risk, informed consent, and patient-centered research methods. Dr. Krishnamurti mentors trainees from undergraduates through early career faculty researchers. She is a graduate faculty member in the School of Medicine.
- General Course, Cultural Anthropology, The London School of Economics and Political Science, 2002
- BS, Biological Anthropology, Carnegie Mellon University, 2003
- MS, Behavioral Decision Research & Social Psychology, Carnegie Mellon University, 2006
- PhD, Behavioral Decision Research, Carnegie Mellon University, 2010
Education & Training
Krishnamurti T, Rodriguez S, Wilder B, Gopalan P, Simhan HN. Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data. Archives of Women's Mental Health. 2024 May 22:1-3.
Krishnamurti T, Davis AL, Wong-Parodi G, Fischhoff B, Sadovsky Y, Simhan HN. Development and testing of the MyHealthyPregnancy app: a behavioral decision research-based tool for assessing and communicating pregnancy risk. JMIR Mhealth Uhealth. 2017;5(4):e42.
Krishnamurti T, Woloshin S, Schwartz LM, Fischhoff B. A randomized trial testing US Food and Drug Administration "breakthrough" language. JAMA Internal Medicine. 2015;175(11):1856-1858.
Krishnamurti T, Murtaugh KL, Van Nunen L, Davis AL, Ipser J, Shoptaw S. Spending money to make change: Association of methamphetamine abstinence and voucher spending among contingency management pilot participants in South Africa. Journal of Substance Abuse Treatment. 2020;112:60-67.
- Graduate Research Fellowship, The National Science Foundation, 2006-2009
- Ideas of the Year, The New York Times, 2009
- Philanthropic and Academic Partnership Challenge winner, Science of Philanthropy Initiative Partnership, 2014
- Finalist, Pitt Innovation Challenge (PInCh), Clinical and Translational Science Institute, University of Pittsburgh, 2019
- Kuno Award for Applied Science for the Social Good, S&R Foundation, 2020
- First in Femtech Award, Femtech Focus, 2022
- Health Equity Hero, HealthTech4Medicaid, 2023
