Stanford University
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Milana V. Dolezal, MD, MSci
Clinical Associate Professor, Medicine - Oncology
BioDr. Dolezal is a board-certified hematologist-oncologist with Stanford Medicine Cancer Center in Emeryville and a clinical associate professor in the Stanford School of Medicine, Division of Oncology.
She strives to work with patients to develop care plans that are comprehensive and personalized achieve the best possible outcomes and quality of life.
Dr. Dolezal also has extensive experience in research and drug development. She previously held positions as a clinical scientist, assistant medical director, and associate medical director in the BioOncology Therapeutics unit of the biotechnology company Genentech.
She has conducted clinical research into fertility preservation in patients with breast cancer, advanced treatments for triple-negative breast cancer, and patients’ adherence to anti-cancer therapy. She has co-authored articles on her research findings that appeared in the Journal of Clinical Oncology, Cancer, and other peer-reviewed publications.
She also co-authored the chapter “Progression from Hormone-Dependent to Hormone-Independent Breast Cancer” in the textbook Hormones, Genes and Cancer published by Oxford University Press.
Dr. Dolezal has made presentations to her peers at meetings of the American Association for Cancer Research, American Society of Clinical Oncology, and European Cancer Organisation. -
Varun Dolia
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2021
BioVarun Dolia is a Benchmark Fellow and a Ph.D. candidate in Prof. Jen Dionne's lab. He is excited about developing nanophotonic platforms for health and environmental monitoring.
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Devin Dollery
Ph.D. Student in Oceans, admitted Autumn 2023
Masters Student in Oceans, admitted Autumn 2024BioI am interested in computational simulations of the natural world - focusing on developing models of ocean physics to predict the ocean's role in climate variability. At Stanford, my PhD research commencing in Autumn 2023 with Prof Fringer seeks to model and understand the interaction of surface and internal waves. This relationship will be correlated to satellite imagery of ocean surface roughness to infer stratification for assimilation into ocean models.
My professional background started in civil engineering and coastal processes modeling. I received an MSc in computational mechanics at the University of Cape Town (2018) - formulating and implementing a multiscale FEM model for cardiac tissue. Most recently, I was a scientific software developer adding parallelized tools and functionality to the ocean modeling software, UCLA ROMS, at the University of California, Los Angeles.
