Working group
The Spatial Omics Initiative organizes a monthly working group. The goal is to build relationships and develop collaborative proposals. Meetings will be held jointly with the IGB Center for Artificial Intelligence and Modeling (CAIM), to develop new ideas at the intersection of biology and analytics. We encourage trainees from both biological and analytical research groups to attend these seminars, to present the work done in their labs, and to participate in collective discussions; this will be a fantastic opportunity to learn how to work with a diverse group of collaborators.
Spring 2024
Every other Monday from 12-2 pm in IGB 2410, from January 22 to May 12, 2024, lunch provided.
This semester the working group will also be offered as a graduate seminar, please register for IB 546, CRN 62171. Students attending for credit are expected to attend every meeting and to present once during the semester. Students are encouraged to present in groups or to share a slot. This is a great opportunity to get feedback and to establish collaborations with other labs.
Please sign up below if you are interested in speaking about:
- Questions about data analysis
- Presentations of new results + feedback
- Presentations of a paper with new techniques/methods
- Practice presentations for conferences/talks
- Feedback on ideas for grant proposals/planned experiments
https://docs.google.com/document/d/1XoDeGKGhc2IvZyILAEYfminfHqS_pawh1xVpp6c30VQ/edit?usp=sharing
We will also invite presentations from people outside the immediate field but who have relevant expertise, for example in artificial intelligence, analysis of spatial data, etc.
Mailing list and contact information
Join the mailing list if you are interested in getting updates. We've set up a Slack channel if you are interested in connecting with others. Contact us at spatial@igb.illinois.edu with any other questions.
Past working group meetings
Fall 2023
September 5, 2023 (Tuesday) on Zoom: Introduction (slides, recording)
October 2, 2023: Proposal discussions
November 6, 2023 hybrid meeting: Adam Stewart on deep learning in spatial data analysis
December 4, 2023: Xin Li on spatial and temporal patterns in neuronal diversity
Spring 2023
January 30, 2023: Hee Sun Han and Jane Zhao
February 27, 2023: Andrew Steelman and Yuxiong Wang
April 10, 2023: Auinash Kalsotra and Fan Lam
May 8, 2023: Zeynep Madak-Erdogan and Aiman Soliman