What we're about

The aim of the user group is to build a community of interest around data science to foster learning, collaboration, and networking. The group will serve both students and professionals to bridge the gap between the analytical sciences and practical applications of industry.

Anyone is invited and included, from undergraduate students (or younger!) to seasoned professionals. There is no requirement for admission, only an interest in learning more about data science.

Upcoming events (4+)

Data Science User Group monthly meetup

Needs a location

For our October meetup, we are excited to welcome two professors from the School of Information Sciences at the University of Illinois. Renee Hendricks, teaching assistant professor, will be sharing details about process mining and how it is used to evaluate changes to a process using time-stamped data as well as applications in the healthcare industry. Then we'll hear from Haohan Wang, assistant professor, who will discuss the misalignment between AI's and human's perception of data and how machine learning techniques can help mitigate the issues. If you are planning to attend in person, please fill out this form (link) by Thursday, October 6th @ noon so we can have an accurate headcount for food. The meetup will continue to be hosted online via Zoom (link) for those of you who will be attending remotely.

Speaker bios and abstracts are below.

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Renee Hendricks

  • Title: Process Mining.
  • Abstract: Process mining is a method that allows us to understand an initial baseline of a process, determine any bottlenecks or resource constraints, and evaluate a recently implemented change to a process, using time-stamped, event data. The application of process mining on a hospital event log of patients entering the emergency room with possible sepsis will be explored.
  • Bio: Renee Hendricks is a teaching assistant professor in the iSchool. Previously, she worked at the U.S. Department of Veterans Affairs, the Department of Homeland Security, and the Federal Aviation Administration in engineering, test and evaluation, and research and development roles. Her Ph.D. is in Industrial and Systems Engineering and her teaching and research interests are in public health informatics and data and process mining.

Haohan Wang

  • Title: Toward the Alignment Between Machine Learning Models’ and Users’ Perceptions of Data
  • Abstract: Machine learning has demonstrated remarkable performances over in-lab environment, but often under-delivers when tested in real-world situations, which sparks a proliferation of studies on robust machine learning from both the empirical and the theoretical perspectives. In this talk, we will start from the multiple evidence to show that one reason behind this situation is the misalignment between the AI’s and human’s perception of the data. We will continue to introduce several machine learning techniques to mitigate the issue and the current progress to deliver a software for users to calibrate the machine learning model’s perception of the data.
  • Bio: Haohan Wang is an assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign. His research focuses on the development of trustworthy machine learning methods and its application on computational biology and healthcare applications, such as decoding the genomic language of Alzheimer's disease. In his work, he uses statistical analysis and deep learning methods, with an emphasis on data analysis using methods least influenced by spurious signals. Wang earned his PhD in computer science through the Language Technologies Institute of Carnegie Mellon University where he works with Professor Eric Xing. In 2019, Wang was recognized as the Next Generation in Biomedicine by the Broad Institute of MIT and Harvard because of his contributions in dealing with confounding factors with deep learning.

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Data Science User Group monthly meetup

Needs a location

• What we'll do
We’re continuing our local user group to foster collaboration and learning in the area of data science. We'll be sending out the planned agenda a week ahead of time.

Lunch will be provided, so please RSVP.

• What to bring

• Important to know

Data Science User Group monthly meetup

Needs a location

• What we'll do
We’re continuing our local user group to foster collaboration and learning in the area of data science. We'll be sending out the planned agenda a week ahead of time.

Lunch will be provided, so please RSVP.

• What to bring

• Important to know

Data Science User Group monthly meetup

Needs a location

• What we'll do
We’re continuing our local user group to foster collaboration and learning in the area of data science. We'll be sending out the planned agenda a week ahead of time.

Lunch will be provided, so please RSVP.

• What to bring

• Important to know

Past events (54)

Data Science User Group monthly meetup

Needs a location

Photos (5)