We intend the terms scientific computing and data science to be broadly defined and inclusive. Topics of interest include but are not limited to:

- Novel numerical methods, numerical analysis, high-performance computing, parallel algorithms, and application problems that involve numerical challenges.
- Machine learning algorithms, deep learning and neural networks, applied/predictive modeling with real-world data, data-enabled science, dimensionality reduction, Bayesian methods, natural language processing, and computational statistics.

During Spring 2022 we will meet on **Thursdays, 1:30-2:30pm** in **ACS 362C**. Alternatively, you may also join via Zoom.

This seminar is part of the RTG theme “Scientific Computing and Data Science”. If you have questions, please contact Prof. Changho Kim (ckim103@ucmerced.edu) or Dr. Tommaso Buvoli (tbuvoli@ucmerced.edu).

### Schedule Spring 2022

**Jan 27:**Enrique Mercado**Feb 3**: Harish Bhat**Feb 10**: Jocelyn Ornelas Munoz**Feb 17**: Harish Bhat**Feb 24**: Harish Bhat**Mar 3**: Ali Heydari**Mar 10**: Adam Binswanger**Mar 17**: Majerle Reeves**Mar 24**: Spring Recess**Mar 31**: Tanya Tafolla**Apr 7**: Hardeep Bassi**Apr 14**: Valentin Dallerit**Apr 21**: Kevin Collins**Apr 28**: Matthew Blomquist