Wenyu Zhang is a PhD student in the Quantitative Biomedical Sciences Program at Dartmouth College. She holds a Master’s degree in Biomedical Informatics from Harvard Medical School and a Bachelor’s degree from Mount Holyoke College, where she double-majored in Chemistry and Data Science. Her research focuses on using clinical data and AI to improve health outcomes and precision medicine.

Freya Ma is a PhD student in Quantitative Biomedical Sciences at Dartmouth College, focusing on developing machine learning, deep learning, optimization, and large language model approaches for digital biomarkers in cancer and chronic disease detection, mental health assessment, and physical activity monitoring. Her research aims to develop scalable healthcare interventions through computational techniques and data-driven insights. Prior to beginning her PhD, Freya worked as a Decision Analytics Associate at ZS Associates, where she partnered with global healthcare leaders on pharmaceutical consulting projects, and previously served as a technology consultant at Accenture developing innovative healthcare solutions. She completed her computer science and data science studies at Northwestern University and the University of British Columbia, and holds a Master's degree from Dartmouth's QBS program. In her free time, Freya enjoys epee fencing, acrylic painting, instrumental music, cross-country skiing, and horseback riding.

Yama Chang (she/her) is a PhD student in Quantitative Biomedical Sciences at Dartmouth College, focusing on developing accessible and scalable intervention tools to improve mental health. Her research leverages computational techniques, including machine learning, deep learning, and large language models, to analyze large-scale behavioral and language data from sources such as passive sensors, intensive longitudinal data, and social media platforms. Prior to beginning her PhD, Yama received an MA in Clinical Psychology from Columbia University and previously worked as a data scientist with Dr. Jessica Schleider at the Lab for Scalable Mental Health. In her free time, Yama enjoys meditation, yoga, making pour-over coffee, biking, and traveling!

Jesus Garcia Garcia is a PhD student in Quantitative Biomedical Sciences at Dartmouth College, focusing on biostatistics methodology. As an undergraduate, Jesus double-majored in Mathematics and Physics at the University of Oviedo, Spain, followed by a Masters in Applied Mathematics at Leiden University, Netherlands, where he graduated cum laude. Jesus has worked as a data scientist in TheNextPangea, SL, and with DataStudent while receiving his Masters. His current focus is on developing statistical methods to improve the use of instrumental variables in order to avoid unmeasured confounders.