Stanford University
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Joe Kesler
Ph.D. Student in Biology, admitted Autumn 2024
BioI am a Ph.D. student studying evolutionary ecology and biogeography in the Daru Lab. My research focuses on how species assemblages evolve and shift with changing environments across temporal and spatial scales. My current project integrates biogeographic analyses and phylogenetic data to understand the evolutionary and ecological forces shaping the biodiversity of the world's marine life.
In June 2023, I received a B.S. in Ecology, Behavior, and Evolution from UC San Diego, where I worked primarily with Professor Elsa Cleland, researching the demography of the California poppy (Eschscholzia californica) and how its traits vary across different climates within the state. I also participated in two other labs, broadly investigating plant-pollinator interactions and plant genetics respectively. After graduating, I assisted the Green Biome Institute at CSU East Bay by collecting DNA samples of endangered California plant species, followed by work as a habitat restoration technician for Recon Environmental in the marshes around the San Francisco Bay Area.
In the Daru Lab, I am excited to investigate how marine species respond to environmental changes over varied timescales, with the ultimate goal of informing habitat restoration management and conserving biodiversity worldwide. -
Timothy Keyes
MD Student, expected graduation Spring 2026
Ph.D. Student in Cancer Biology, admitted Winter 2018
MSTP StudentBioTimothy is an MD/PhD student studying cancer biology and biomedical informatics at the Stanford University School of Medicine. He is a joint member of Kara Davis's laboratory in the Department of Pediatrics and Garry Nolan's Laboratory in the Department of Pathology.
As a biomedical data scientist, Timothy's research focuses on the application of machine learning to single-cell data analysis in the context of pediatric leukemia. Through the use of emerging, high-throughout single-cell technologies such as mass cytometry and sequence-based cytometry, Timothy's research is designed to build predictive models of patient outcomes - such as relapse or minimal residual disease (MRD) - at the point of diagnosis. To do so, he uses a variety of computational tools including generalized linear models, clustering, and deep learning. In addition, his work prioritizes constructing easy-to-use, highly-reproducible data analysis pipelines that can be shared as open-source tools for the scientific community.
Outside of science, Timothy has a longstanding interest in human rights and social justice work among members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ+) community. He currently serves as the resident data scientist for the Medical Student Pride Alliance (MSPA), a 501(c)(3) non-profit organization that advocates for diversity, equity, and inclusion for LGBTQ+ medicals students in medical schools across the United States. As a data scientist at MSPA, Timothy analyzes and visualizes data to guide MSPA's strategic decision-making as well as for academic publication. He also advises and mentors other student members of MSPA performing data analysis in Python and R.
In recognition of his accomplishments, Timothy has received several institutional and national award for both research and advocacy. These include a National Research Service Award (NRSA) from the National Cancer Institute, a Junior Leadership Award from the Building the Next Generation of Academic Physicians (BNGAP) LGBT Workforce, Stanford Medicine’s Integrated Strategic Plan Star Award, and a Point Foundation Scholarship.