DSCO 2023

The Data Science Conference

The Data Science Conference (DSCO) is hosted by the Data Institute at the University of San Francisco (USF) at its campus in the Financial District of downtown San Francisco.

DSCO brings together academics, practitioners, and students from a wide array of organizations to learn about developments in the field and applications in areas such as the environment, data ethics, marketing, healthcare, and more.

Originally held in 2017, and again in 2019, DSCO was canceled in 2021 due to the COVID-19 global pandemic. Data Institute faculty and staff are excited to once again host the conference – DSCO 2023 – and hope that you will join us to learn from and network with thought-leaders from academia and industry who are actively contributing to the spectrum of data science research and practice.

The Data Institute

Established in 2016, the Data Institute at the University of San Francisco serves as the umbrella organization for data science research and programming at USF.

The Data Institute offers the Master of Science in Data Science (MSDS) program, the Bachelor of Science in Data Science (BSDS) program, and professional certificate programs. Every year, it hosts interdisciplinary postdoctoral fellows and data ethics fellows and is home to initiatives focused on the environmental and social impact, the Artificial Intelligence & Medicine (formerly the Wicklow AI Medical Research Initiative (WAMRI)), and the Center for Applied Data Ethics (CADE).

The MSDS and the BSDS programs, with the support of the Data Institute, are interdisciplinary degree programs with a diverse and growing community of full-time faculty members from data science, mathematics, statistics, health informatics, and computer science.

The mission of the Data Institute is to:

Foster

new partnerships between industry and academia to tackle real-world data science and machine learning problems

Build

an inclusive community of data scientists to advance research in data science and machine learning

Create

innovative curricula to support the training of the next generation of data scientists, machine learning engineers, and data engineers

Partner

with for-profit, nonprofit, and civic organizations to seek data-driven solutions to address pressing social, economic and environmental challenges

Scientific Program Committee

The role of the Scientific Program Committee is to plan, direct, and supervise the DSCO 2023 scientific program, develop the overall DSCO program, review the proposed short courses and plenary sessions, and suggest and help implement ways to increase the DSCO appeal to particular groups such as researchers and practitioners in the data science and machine learning space. The committee provides continuous feedback throughout the DSCO planning cycle, assists in the review of submitted abstracts, and develops the selection process for DSCO special lectures.

Data Science Committee Henry Humadi
Data Science Committee Shan Wang

Shan Wang
Academic Co-Chair
Assistant Professor, University of San Francisco
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Henry Humadi
Industry Co-Chair
Director of Data Science, liftoff.io
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James Wilson
Associate Professor

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Daniel O’Connor
Assistant Professor

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Daniel Jerison
Assistant Professor

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Hyrum Anderson
Distinguished ML Engineer
Robust Intelligence

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Daniel Zielaski
VP of Personalization & Growth, Platform Salesforce

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Data Institute Team

Data Science Affiliate Elisabeth Merkel Baghai
Data Science Affiliate Jeff Hamrick

Jeff Hamrick
Senior Director, Data Institute | Professor of Data Science and Finance | ASA/SIAM Representative
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Elisabeth Merkel Baghai
Director, Operations and External Relations, Data Institute
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Data Science Affiliate Diane Woodbridge
Data Science Affiliate Victor Palacios

Victor Palacios
Director, Partnerships, Data Institute
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Diane Woodbridge
Academic Director, M.S. Data Science
Associate Professor
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Ali Alkhatib
Interim Director, Center for Applied Data Ethics

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William Bosl
Director, AI & Medicine Initiative

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Aline Anunciato
Program Assistant, Data Institute & M.S. Data Science

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Leslie Blakeman
Program Assistant, College of Arts & Sciences

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Mikaela Mora
Associate Director, Data Institute

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Aija Tapaninen
Administrative Director,
M.S. Data Science

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