What we're about

This Seminar Series is produced by the University of San Francisco's Master's program in Data Science (https://www.usfca.edu/arts-sciences/graduate-programs/data-science). This group brings researchers and practitioners together with students, faculty, and interested members of the public to discuss topics of interest in analytics and data science. Please join us weekly on Fridays at 101 Howard St at 12:30pm. Coffee is provided!

Recordings of past talks are posted at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA

Upcoming events (4)

Sequences and consequences. Kerry Rodden --Data visualization consultant

Sequences and consequences: How making one data visualization changed the course of my career Visual representations of data are essential to all phases of the analysis process, from exploration through to communication of findings. In certain situations it can be very powerful to create custom visualizations that are tailored to the domain, the dataset, or the audience. As a data visualization consultant, that's been my job for almost 2 years. I'll talk about how and why I ended up following that career path, which got started after I made an internal visualization tool at Google that went viral inside the company. I'll share example projects and discuss the process of designing a data visualization, plus some of what I've learned about doing it well. Bio: Kerry Rodden is an independent consultant, focusing on data visualization design and development. Previously, she was a senior staff UX researcher at Google, analyzing large-scale usage data to answer product design questions. There, she originated the role of quantitative UX researcher, led the creation of the HEART framework for UX metrics, and developed the sequences sunburst visualization as a way of representing aggregated user paths through a product. She studied computer science, and got started in data visualization while doing her PhD at the University of Cambridge, UK.

Mobile Health Technologies: What Your Smartphone Can Tell About You. Jihui Lee

**Talks are recorded and posted to our YouTube channel at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA . Coffee is served at the in-person seminar at 101 Howard St.** Mobile Health Technologies: What Your Smartphone Can Tell About You Bio: Jihui Lee is a Postdoctoral Associate in biostatistics at Weill Cornell Medicine. She received a PhD in biostatistics from Columbia University in 2018. She is interested in developing statistical methods for analyzing spatiotemporal data such as dynamic networks and wearable device data. She has been collaborating extensively with researchers in geriatric psychiatry especially in using mobile technology to improve patient engagement and adherence. Title: Mobile Health Technologies: What Your Smartphone Can Tell About You Abstract: Using mobile or wearable devices, such as smartphones and activity trackers, provides interactive interface for ecological momentary assessment (EMA) as well as collects vast amount of behavioral measures using passive sensors. The EMA linked with behavioral measures broadens the understanding of user’s mental health. In this talk, I will introduce multi-modal, time-dependent, and high-dimensional data collected using smartphones and/or wearables and discuss how to analyze these data. I will demonstrate the utility of functional data analysis in visualizing and examining the association between the self-reported level of depression and behavioral trajectories of elderly patients with depression using smartphones. This analysis contributes to identifying patients’ behavioral patterns and providing an interactive intervention tailored to each individual.

Bushra Anjum, Ph.D., Data Analytics Program Manager, Doximity

**Talks are recorded and posted to our YouTube channel at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA . Coffee is served at the in-person seminar at 101 Howard St.**

Bryant Chen Data Scientist at LiveObjects.ai

Needs a location

TBA

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