We are pleased to announce that Andreas Tersenov, a PhD candidate in our department, has played a significant role as an instructor at the Astrostatistics Summer School 2024, held in Crete. The summer school, which concludes today, offered an intensive program on a variety of key topics in astrostatistics, including:
- Classical & Bayesian Statistics
- Optimization Methods
- Markov Chain Monte Carlo
- Simulation Based Inference
- Machine Learning Practices
- Clustering
- Classification & Regression
- Deep Learning
Andreas Tersenov has contributed to the event by sharing his knowledge and expertise with participants from around the world. His involvement in the summer school highlights our department’s commitment to advancing research and education in astrostatistics.
We commend Andreas Tersenov for his dedication and hard work. His participation in such a prestigious event is a testament to his skill and enthusiasm for the field.
For more information about the Astrostatistics Summer School 2024, please visit Astrostatistics Summer School 2024.