TDAI's Foundations of Data Science & AI CoP directors are organizing a monthly mini-tutorial series presented by graduate students and postdocs this semester. TDAI will host speakers who will present an introductory overview of their research area and some of their ongoing or completed research on the topic. CoP leaders envision the talks will be around 45 minutes, with additional time for questions and feedback. The organizers hope this will be a great opportunity for the whole TDAI community to learn about each other's work, help one another refine their presentation skills, and find potential collaborators. 

Graduate student or postdoctoral fellows: if you are working with a faculty member affiliated with TDAI, TDAI would love to hear from you about your research. If you are interested in speaking at the series, please email the CoP directors below with a title and abstract of your proposed talk. The organizers aim to keep these talks informal and in a tutorial style, where you can choose how much of your own research you want to present. The directors will select a few proposed talks based on the availability of speaker slots, and if yours is selected, they will get back to you with an invitation. As an interdisciplinary group, TDAI is open to a broad range of topics related to data science and AI.

The plan is to have our first mini-tutorial in Oct. The date and time could be flexible each month.  

When you submit your title and abstract, please use the subject line "TDAI Graduate/Postdoc Mini-Tutorial Series" for your email and send to both the following addresses: Subhadeep Paul (paul.963@osu.edu), and Huan Sun (sun.397@osu.edu).