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Scientific Computing and Data Science Seminar

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 2023, we will meet on Thursdays, 2:00-3:00pm in ACS 362B.

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).

Schedule Spring 2023

  • Jan 19: Kick-off meeting
  • Feb 2: Changho Kim

Schedule Fall 2022

  • Aug 25: Kick-off meeting
  • Sep 1: Harish Bhat - Intro to JAX
  • Sep 8: John Butcher (University of Auckland, New Zealand) - B-series and Applications
  • Sep 15: Changho Kim - Demystifying Stochastic Integrals
  • Sep 22: Changho Kim - Demystifying Stochastic Processes
  • Sep 29: Yuanran Zhu (LBNL) - Statistics-informed neural network
  • Oct 6: Yue Yu (Office of Information Technology) - HPC info session
  • Oct 13: Hannah Love - Intro to NLP and Resume Ranker
  • Oct 20: Tanya Tafolla - Intro to weather prediction
  • Oct 27: Ali Heydari - No Pairs Left Behind! Improving Metric Learning to Predict Patients'' Health Risk from a Single Lab Visit
  • Nov 3: Scott West - A Stable Nodal Projection Method on Octree Grids
  • Nov 10: Maia Powell - How to Scrape Data from Twitter
  • Nov 17: Alex Ho - Data-Drive Eddy Diffusion Coefficient in Marine Lake
  • Dec 1: Zihan Xu - Extension of SINN to Multi-Dimensions
               Jack Pham - Linear Algebra in Cryptography
  • Dec 8: Matteo Polimeno - Computing Stresses in Marine Aggregates: A Boundary Integral Approach

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

Previous seminars