Don Setiawan
Employers on the program
- 2023–2024University of Washington4 talks
Appearances by year
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | speaker | Echostack: A flexible and scalable open-source software suite for echosounder data processing as University of Washington eScience Institute Water column sonar data collected by echosounders are essential for fisheries and marine ecosystem research, enabling the detection, classification, and…Show lessWater column sonar data collected by echosounders are essential for fisheries and marine ecosystem research, enabling the detection, classification, and quantification of fish and zooplankton from many different ocean observing platforms. However, the broad usage of these data has been hindered by the lack of modular software tools that allow flexible composition of data processing workflows... | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | Generative AI Copilot for Scientific Software – a RAG-Based Approach using OLMo as University of Washington eScience Institute Generative AI systems built upon large language models (LLMs) have shown great promise as tools that enable people to access information through natural…Show lessGenerative AI systems built upon large language models (LLMs) have shown great promise as tools that enable people to access information through natural conversation. Scientists can benefit from the breakthroughs these systems enable to create advanced tools that will help accelerate their research outcomes. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis as University of Washington eScience Institute Xarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related…Show lessXarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related variables. Xarray combines the convenience of labeled data structures inspired by Pandas with NumPy-like multi-dimensional arrays to provide an intuitive and scalable interface for scientific analysis. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | tutorial | Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis as University of Washington eScience Institute Xarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related…Show lessXarray provides data structures for multi-dimensional labeled arrays and a toolkit for scalable data analysis on large, complex datasets with many related variables. Xarray combines the convenience of labeled data structures inspired by Pandas with NumPy-like multi-dimensional arrays to provide an intuitive and scalable interface for scientific analysis. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Jessica Scheick | 2 | 2 | 2024 |
| Negin Sobhani | 2 | 2 | 2024 |
| Scott Henderson | 2 | 2 | 2024 |
| Tom Nicholas | 2 | 2 | 2024 |
| Alex Monahan | 2 | — | 2024 |
| Ana Comesana | 2 | — | 2024 |
| Bane Sullivan | 2 | — | 2024 |
| Brigitta Sipőcz | 2 | — | 2024 |
| Bryan Van de Ven | 2 | — | 2024 |
| C.A.M. Gerlach | 2 | — | 2024 |
| Dharhas Pothina | 2 | — | 2024 |
| Fritz Lekschas | 2 | — | 2024 |
| Gil Forsyth | 2 | — | 2024 |
| Guen Prawiroatmodjo | 2 | — | 2024 |
| Henry Fredrick Schreiner III | 2 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.