Nezar Abdennur
Employers on the program
- 2024–2026UMass Chan Medical School3 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 13, 2026 | SciPy 2026 | SciPy Conference (Scientific Computing with Python) | speaker | Declare, Don't Parse: Composable genomic analysis with GIQL and Oxbow as UMass Chan Medical School Genomic workflows remain tightly coupled to specialized file formats, forcing researchers to build brittle pipelines of format-specific CLI tools. We present…Show lessGenomic workflows remain tightly coupled to specialized file formats, forcing researchers to build brittle pipelines of format-specific CLI tools. We present projects that help shift this emphasis away from file parsing and towards declarative querying. | |
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | speaker | Accelerating Genomic Data Science and AI/ML with Composability as UMass Chan Medical School The practice of data science in genomics and computational biology is fraught with friction. This is largely due to a tight coupling of bioinformatic tools to…Show lessThe practice of data science in genomics and computational biology is fraught with friction. This is largely due to a tight coupling of bioinformatic tools to file input/output. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | Bring your __repr__’s to life with anywidget as UMass Chan Medical School <a>Jupyter Widgets</a> connect Python objects with web-based visualizations and UIs, enabling both programmatic and interactive manipulation of data and code.…Show less<a>Jupyter Widgets</a> connect Python objects with web-based visualizations and UIs, enabling both programmatic and interactive manipulation of data and code. For example, lasso some points in a scatterplot visualization and access that selection in Python as a DataFrame. | |
| Jul 8, 2019 | SciPy 2019 | SciPy Conference (Scientific Computing with Python) | speaker | To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Eric Ma | 4 | — | 2026 |
| Julie Hollek | 4 | — | 2026 |
| Matthew Feickert | 4 | — | 2026 |
| Trevor Manz | 3 | 2 | 2026 |
| Daniel Chen | 3 | — | 2026 |
| Eniola Awowale | 3 | — | 2026 |
| James A. Bednar | 3 | — | 2026 |
| Juanita Gomez | 3 | — | 2026 |
| Katrina Riehl | 3 | — | 2026 |
| Leah Wasser | 3 | — | 2026 |
| Madicken | 3 | — | 2026 |
| Naty Clementi | 3 | — | 2026 |
| Ryan C Cooper | 3 | — | 2026 |
| Stéfan van der Walt | 3 | — | 2026 |
| Brigitta Sipőcz | 3 | — | 2025 |
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.