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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Join us on Wednesday, May 29, as we explore the ongoing impact of data science on the field of health. Hosted by Women in Data Science Stanford, an initiative of Stanford Data Science (SDS), and the SDS Data 4 Health Center, this symposium elevates women researchers, practitioners, and industry professionals who conduct data-intensive research in the health ecosystem.
The event will feature a range of speakers, spanning academics, industry professionals, and graduate students. The day will conclude with a networking reception. This event is in person only.
WiDS Stanford is independently organized by Stanford University to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.
| Time | Session Name | Speaker(s) |
| 8:45-9:30am | Registration & Refreshments | |
| 9:30-9:40am | Welcome Remarks | WIDS Faculty |
| 9:40-10:20am | Keynote: Climate Change and Informatics | Kari Nadeau, Harvard University, Chair, Department of Environmental Health, and John Rock Professor of Climate and Population Studies |
| 10:20-10:40am | Transforming Infectious Disease Surveillance with No-Code Bioinformatics Pipelines | Cristina Tato, Chan-Zuckerberg Initiative, Senior Director, Rapid Response |
| 10:40-11:00am | Break | |
| 11:00-11:30am | Reconstructing Parental Genomes and Near-Perfect Phasing Using Genetic Data from Millions of People | Amy Williams, 23andMe, Senior Scientist |
| 11:30-11:50 | Quantifying Compositional Variability in Microbial Communities | Maike Morrison, PhD Candidate, Biology, Stanford University |
| 11:50am-12:20pm | New Frontiers in Women's Brain Health | Emily Jacobs, UC Santa Barbara, Associate Professor of Psychological and Brain Sciences; Director of the Ann S. Bowers Women's Brain Health Initiative |
| 12:20-1:15pm | Lunch | |
| 1:15-1:45pm | Insights for Navigating a Career in Data | Dana DiFerdinando, Healthcare & Life Sciences Technology Executive and Board Member |
| 1:45-1:55pm | Traditional Clinical Trials | Martha Nason, NIAID, NIH, Biostatistician |
| 1:55-2:05 | Target Trial Emulation: Where Should We Start? | Maria Montez Rath, Stanford University, Senior Research Engineer Director of the Biostatistics Core in the Division of Nephrology |
| 2:05-2:15 | Using Data Science to Inform Malaria Eradication Strategies | Jade Benjamin-Chung, Stanford University, Assistant Professor, Epidemiology and Population Health |
| 2:15-2:35pm | Lightning Panel: Evidence Generation | Martha Nason, Maria Montez Rath, Jade Benjamin-Chung; Moderator: Siyu Hu, Stanford University |
| 2:35-2:55pm | Pretraining and the Lasso | Erin Craig, Stanford University, PhD Candidate in Biomedical Data Science |
| 2:55-3:15pm | Break | |
| 3:15-3:25pm | Precision Health’s Visual Frontier: Mining Insights with Computer Vision | Serena Yeung-Levy, Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering |
| 3:25-3:35pm | How AI Is Transforming Healthcare & Life Sciences | Noura Daadaa, Google, Healthcare AI Startups Lead |
| 3:35-3:45 | Monitoring and Modeling the Body's Hidden Control System | Sandya Subramanian, Stanford University, Postdoc, Incoming Assistant Professor, UCSF-UC Berkeley Computational Precision Health |
| 3:45-4:05pm | Lightning Panel: Predictive Models | Serena Yeung-Levy, Noura Daadaa, Sandya Subramanian; Moderator: Grace Guan, Stanford University |
| 4:05-4:10pm | Closing Remarks | Stanford Data Science |
| 4:10-5:15pm | Networking Reception |
