Stephanie Goldstein, PhD, is an Assistant Professor (Research) at the Weight Control and Diabetes Research Center (WCDRC) of The Miriam Hospital and Alpert Medical School of Brown University. She earned her PhD in Clinical Psychology, with an emphasis on behavioral medicine, from Drexel University. Dr. Goldstein received high-quality training in obesity clinical research and cardiovascular behavioral medicine during her NHLBI-funded postdoctoral fellowship at the WCDRC & Alpert Medical School of Brown University. Her research focuses on electronic/mobile health (e/mHealth) approaches (e.g., ecological momentary assessment [EMA], sensor technology, just-in-time adaptive intervention [JITAI]) to assess and intervene on weight-related behaviors implicated in cardiovascular disease (CVD) risk, particularly eating. She specializes in using EMA administered via mobile phone to study dietary lapses (i.e., discrete instances of dietary non-adherence) and using JITAI to intervene on them. She has utilized EMA identify relevant environmental, cognitive, and physiological triggers for dietary lapses, and applied machine learning algorithms to these data to predict the real-time occurrence of dietary lapses before they occur. This algorithm informed a smartphone-based JITAI that predicts lapses and delivers intervention “just-in-time” when risk for lapse is high. The JITAI is now being optimized via a micro-randomized trial to examine the immediate effect of theory-driven interventions on lapse risk (R01 HL153543). She has also recently completed a project that augments this work by combining EMA and a wrist-worn sensor to inform objective assessment of dietary lapses via real-time passive detection and characterization of eating (F32 HL143954), and is now applying real-time, multimodal assessment to uncover phenotypes of dietary non-adherence within and across individuals (R01DK132210). Lastly, she is working in close collaboration with an engineer at Clemson University to validate wearable sensors (smartwatches and smart rings) for automatically estimating energy intake during daily life (R01 DK135679). In total, Dr. Goldstein has conducted and/or been substantially involved in 10 EMA studies (6 of which have been NIH-funded), and has coordinated the development and pilot testing of 3 JITAIs that use EMA to collect information about behavior and deliver personalized intervention. Two of her studies focus on delivering behavioral obesity treatment to individuals with CVD risk factors such as hypertension and diabetes. She serves as a scientific advisor on Bradley Hospital’s sleep and pediatric mental health COBRE (P20 GM139743), where she mentors researchers in incorporating technology (like EMA) into their research. In sum, Dr. Goldstein has extensive experience in managing, analyzing, and disseminating results from large datasets produced by technology-based systems, and has provided logistical support and consultation to other researchers who are using technology-based methods.
Seminar Series presented at the Center for Digital Health: https://digitalhealth.med.brown.edu/news/2021-06-02/stephanie-goldstein
