Below is the schedule for the 2023 UQ-Bio Summer School. Please toggle to expand each section and view the events that we held each day.
Events that were be live streamed (and recorded for asynchronous viewing) are marked in bold font.
*Afternoon Project Sessions and Hack-a-thons (MWF) will meet together (in person and online) for 20 minutes at the start of each session to discuss the day’s challenge. Then we will break into teams to work on the problem, and we will reconvene for 30 minutes at the end to discuss solutions and progress.
- Asynchronous — Watch the preliminary getting started with python tutorial videos and complete the asynchronous Google Colab workbooks.
- TBA, Python Online Warm-Up Session 1 — see email or slack for links to join live.
- TBA, Python Online Warm-Up Session 2 — see email or slack for links to join live.
- TBA, Python Preliminary Image Loading and Processing — see email or slack for links to join live.
- 16:00 – Check in opens for dormitories (please see instructions in lodging confirmation email)
- 17:30 – 19:00, Welcome Reception (W Scott Jr Bioengineering Atrium)
- 07:00 – 08:30, Breakfast
- 09:00 – 10:00, Welcome Address and Overview Lecture, The UQ-Bio Summer School Team
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 1.1 — Basics of Image Processing, Dr. Luis Aguilera (Colorado State University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 17:00, *Project Session and Hack-a-thon — Image Processing Basic Skills
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Lecture — Fluorescent Labeling Techniques used in Single-Cell Research, Eric Ron (Colorado State University)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 1.2 — Image Segmentation and Tracking, Dr. Carolina Padau (Champalimaud Center for the Unknown, Lisbon, Portugal)
- 12:30 – 13:45, Group Lunch
- 14:00 – 15:00, “Image Segmentation” Group Exercises
- 15:30 – 17:00, Career Discussion Panel 1 — Finding and Joining the Right Research Team or Project
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Lecture, Prof. Soham Ghosh (Colorado State University)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 2.1 — Basic statistics, Prof. Brian Munsky (Colorado State University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 17:00, *Project Session and Hack-a-thon — Statistical Analyses of Images
- 07:00 – 08:45, Breakfast
- 09:00 – 12:00, Group Laboratory tour and experiment demonstrations
- 12:30 – 13:45, Group Lunch
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Seminar, Prof. Douglas Shepherd (Arizona State University)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 2.2 – Basics of Regression, Classification and Machine Learning, Dr. Zachary Fox (Oak Ridge National Laboratory)
- 12:30 – 13:45, Group Lunch
- 15:15 – 17:00, *Project Session and Hack-a-thon — Machine Learning for Single-Cell Data
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Seminar, Prof. Megan McClean (University of Wisconsin, Madison)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 3.1 – Formulating and solving models for gene regulation dynamics, Joshua Cook (Colorado State University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 15:00, “ODE Modeling” Group Exercises
- 15:30 – 17:00, Career Discussion Panel 2 – Student Life and Diversity Equity and Inclusion in STEM
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Seminar, Prof. Phillip Nelson (University of Pennsylvania)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 3.2 – Sampling from Probability Distributions and Generating Stochastic Simulations, Prof. Keisha Cook (Clemson University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 17:00, *Project Session and Hack-a-thon — Modeling Gene Regulation with Stochastic Simulations
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Seminar, Dr. Tatsuya Morisaki (Colorado State University)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 3.3 – Chemical Master Equation, Michael May (Colorado State University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 15:00, “Chemical Master Equation” Group Exercises
- 15:30 – 17:00, Career Discussion Panel 3 — Quantitative and Computational Biology Beyond Academia
- 07:00 – 08:45, Breakfast
- 09:00 – 10:00, Invited Lecture, William Raymond (Colorado State University)
- 10:00 – 10:15, Coffee Break
- 10:15 – 12:15, Python Tutorial 3.3 – Markov Chain Monte Carlo and Model Inference, Kaan Ocal (Edinburgh University)
- 12:30 – 13:45, Group Lunch
- 14:00 – 17:00, *Project Session and Hack-a-thon — Bayesian Inference for Single-Cell models
- 07:00 – 08:45, Breakfast
- 09:00 – 12:00, Group Laboratory tour and experiment demonstrations
- 12:30 – 13:45, Group Lunch
- 14:00 – Free Time
- 07:00 – 08:45, Breakfast
- 08:00 – 09:00, Coffee and Poster Set up
- 09:00 – 10:20, Invited Tutorial, Andrew Mugler (University of Pittsburgh)
- 10:30 – 11:30, Contributed Talks 1-4
- 11:30 – 12:00, Lightning Talks 1-8
- 12:00 – 14:00, Lunch and Poster Session I
- 14:00 – 15:30, Contributed Talks 5-7 and Invited Talks 1-2
- 15:30 – 15:40, Coffee Break
- 15:40 – 16:25, Keynote Talk, Thomas Yankeelov, University of Texas at Auston
- 16:25 – 16:35, Lightning Talks 9-12
- 16:35 – 19:00, Dinner and Poster Session II
- 07:00 – 08:45, Breakfast
- 08:00 – 09:30, Coffee, Conversations and Collaborations
- 09:30 – 10:30, Keynote Talk
- 10:30 – 11:30, Panel Discussion, Future of Artificial Intelligence and Large Language Models in Biological and Biomedical Education and Practice
- 11:30 – 12:30, Awards and Lunch
- 12:30 – ??? Farewell Celebration.
- 07:00 – 08:45, Breakfast
- 09:00 – 12:00, Check out and departure.