Stanford University
Showing 34,871-34,880 of 37,120 Results
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Tin Tin Wisniewski
IT Operations Analyst, Stanford Institute for Innovation in Developing Economies (SEED)
Current Role at StanfordIT Operations Analyst
As an IT Operations Analyst at our organization, I play a vital role in optimizing our digital work environment and ensuring an exceptional user experience for both internal teams and external clients. My core duties involve analyzing user needs, documenting policies, and developing business requirements to enhance the efficiency of our systems. Additionally, I manage licensing for various platforms and handle invoicing paperwork to ensure budget compliance.
In terms of key responsibilities, I oversee digital collaboration tools such as Slack and Asana, implementing communication guidelines and norms while also onboarding new team members. Furthermore, I serve as the Data Custodian for Salesforce, ensuring data integrity and accessibility while managing report folders. Additionally, I develop organization protocols for Google Drive and oversee license management for platforms like NovoEd, Sparkhire, and DocuSign.
My role extends to collaborating with design teams to enhance educational platforms' user interface and experience. I also oversee network websites and FAQs to ensure user-friendliness and value. Additionally, I support projects related to AI implementation and facilitate efficient communication through a staff-facing chatbot. -
Willemijn Witkam
Postdoctoral Scholar, Dermatology
BioI am a dedicated medical doctor from The Netherlands with a passion for research specializing in dermatology. My expertise spans epidemiology, exposome, microbiome, and genetics. During my postdoc at Stanford, I will study the associations of harmful environmental exposures (air pollutants, microplastics) on (inflammatory) dermatological diseases in the lab of Dr. Eleni Linos.
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John Witte
Professor of Epidemiology and Population Health, of Biomedical Data Science and of Genetics
Current Research and Scholarly InterestsThe Witte Lab is a computational and statistical genetics group focused on deciphering the genetic and molecular mechanisms underlying cancer and other complex traits. We undertake integrative analyses across large multi-ancestry cohorts and biobanks, developing and applying methods at the interface of epidemiology, statistical genetics, and machine learning.
