Fariba Ahmadizar

Biography
Fariba Ahmadizar is an epidemiologist working at the forefront of diabetes precision medicine and cardiometabolic research. Her work integrates multi-omics data, including genomics and metabolomics, with clinical, environmental, and pharmacological information to identify biomarkers that improve risk prediction, prevention, and treatment strategies in diabetes and related disorders. She leads multiple international research initiatives investigating the role of glucose dysregulation and glycemic variability in cognitive decline and dementia, advancing understanding of metabolic drivers of brain health. Her research applies advanced epidemiological and data-driven methods to real-world and multi-omics datasets to generate clinically actionable insights for precision medicine. She serves as principal investigator in several national and international consortia and is actively involved in academic teaching, scientific coordination, and mentorship. Her work bridges epidemiology, molecular data science, and clinical practice to advance personalized approaches to diabetes care, cardiometabolic disease prevention, and cognitive health.

David Baker

Biography
David Baker is a Nobel laureate, professor of biochemistry, HHMI investigator, and director of the Institute for Protein Design at the University of Washington. His lab develops software for protein design and uses it to create molecules that address challenges in medicine, technology, and sustainability. Recent work includes the development of machine learning methods for generating functional proteins. David is also an adjunct professor of genome sciences, bioengineering, chemical engineering, computer science, and physics at the University of Washington. He has published more than 650 scientific papers, been awarded over 100 patents, and co-founded 21 biotechnology companies. More than 100 of his trainees have gone on to independent faculty positions. He is the recipient of numerous awards, including the 2024 Nobel Prize in Chemistry “for computational protein design.” He is an elected member of the National Academy of Sciences, National Academy of Engineering, and National Academy of Inventors. David was also included on TIME’s inaugural list of the 100 Most Influential People in health. David received his PhD in biochemistry with Randy Schekman at the University of California, Berkeley, and conducted postdoctoral research in biophysics with David Agard at UCSF.

Dimitri Yatsenko

Biography
Dimitri Yatsenko is the scientific lead behind Data Joint, an open-source framework widely adopted across neuroscience for building reproducible, scalable, and fully automated data pipelines. Originally developed during his work at Baylor College of Medicine, Data Joint has become foundational infrastructure for labs generating large-scale electrophysiology, imaging, behavioral, and multimodal datasets. Dimitris work focuses on transforming fragmented research workflows into unified, auditable systems that integrate data acquisition, analysis, and computational modeling. Over more than a decade, he has championed data-centric research practices that accelerate discovery, improve scientific rigor, and enable collaborative, multi-institution neuroscience projects. His contributions have helped establish best practices for managing complex experimental data and have empowered researchers to connect raw measurements to higher-order insight with speed, transparency, and reproducibility.