Stanford University
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Quinn Mitsuko Parker
Ph.D. Student in Oceans, admitted Autumn 2023
Ph.D. Minor, Feminist, Gender, and Sexuality Studies
Research Assistant, OceansCurrent Research and Scholarly InterestsQuinn Parker studies social-ecological dynamics of small-scale fisheries, and their ties to gender equity, food security, and food sovereignty. She examines the cultural, socio-economic, and historical drivers that impact SSF governance, and how these governance models in turn affect resilience of and access to blue food systems.
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Ugur Parlatan
Basic Life Research Scientist, Rad/Canary Center at Stanford for Cancer Early Detection
BioDr. Ugur Parlatan is a Basic Life Research Scientist at the Canary Center at Stanford for Cancer Early Detection. Trained as a physicist, he leads photonics laboratory activities and develops optical spectroscopy and imaging approaches for molecular fingerprinting and characterization of extracellular vesicles (EVs). His work includes designing and optimizing measurement workflows, analyzing EV signatures from biomedical samples, and supporting disease-focused studies across cancer and metabolic conditions (including lung cancer, glioblastoma, pancreatic cancer, diabetes, and hepatotoxicity). He also mentors trainees (including NIH CREST program interns) and contributes to manuscripts and grant applications.
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Vanessa Parli
Managing Director of Programs and External Engagement, Institute for Human-Centered Artificial Intelligence (HAI)
BioAs Managing Director, Programs and External Engagement at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), I lead initiatives that foster interdisciplinary collaboration and connect academic research with real-world impact. My work includes managing HAI’s industry research partnerships, executive education, policy engagement and the AI Index, creating opportunities for leaders from diverse backgrounds to engage with cutting-edge AI research, its applications, and its potential for positive social impact.
Before joining Stanford, I worked in management consulting, applying statistics, machine learning, and data science to advise government agencies, biotech firms, and nonprofit organizations. My work centered on making complex methods accessible to decision makers, ensuring technical rigor translated into actionable strategies.
I hold an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University. I am passionate about turning bold ideas into impact, and am recognized for my collaborative, process-driven approach to problem-solving.
