Spring

1/22-1/23: Single Cell Genomics

1/30-1/31: Diffusion models: from image to biological sequence generation

2/13-2/14: Deep learning for beginners

2/26-2/27: Multiplexed NGS assays and analysis: from FASTQ to fitness

3/26-3/27: Scientific Reproducibility using containers

4/10-4/11: Programming for beginners using MATLAB

Summer

5/14: Ethics in AI Discussion Forum

6/10 & 6/12: Introduction to Linux

Fall

9/5-9/6: Data Science using R

9/11-9/12: Deep Learning for Beginners

9/19-9/20: Time Series Analysis

9/19, 24, 26 & 10/1: Advanced Concepts of Deep Learning

1029-10/30: Architecture and Applications of Deep Learning

10/30-10/31: Introduction to Python

11/11, 12, 13, & 14: Diffusion Models: from Image to Biological Sequence Generation