Anandh Swaminathan: Difference between revisions
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|First name=Anandh | |First name=Anandh | ||
|Last name=Swaminathan | |Last name=Swaminathan | ||
|Current position= | |Current position=Alumni | ||
|Department=CDS | |Department=CDS | ||
| | |Previous projects=DARPA BioCon, AFOSR BRI | ||
| | |Graduated=2017/08/31 | ||
|Previous positions=PhD student | |||
|LinkedIn=https://www.linkedin.com/in/anandh-swaminathan-06803217/ | |||
|Subsequent positions=Research Scientist, Persephone Biome (San Diego); | |||
Model Engineer, Ghost Autonomy (Mountain View); | |||
Data Science Contractor, Atalaya Capital Management (New York, remote) | |||
}} | |||
Papers: | |||
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Latest revision as of 06:12, 3 February 2024
| First name | Anandh |
|---|---|
| Last name | Swaminathan |
| Current position | Alumni |
| Department | CDS |
| Co-advisor | |
| Current project | |
| Other projects | |
| Previous projects | DARPA BioCon, AFOSR BRI |
| Graduated | 2017/08/31 |
| Previous positions | PhD student |
| URL | |
| https://www.linkedin.com/in/anandh-swaminathan-06803217/ | |
| Subsequent positions | Research Scientist, Persephone Biome (San Diego);
Model Engineer, Ghost Autonomy (Mountain View); Data Science Contractor, Atalaya Capital Management (New York, remote) |
Papers:
- Fast and flexible simulation and parameter estimation for synthetic biology using bioscrape. Anandh Swaminathan, William Poole, Victoria Hsiao, Ayush Pandey, and Richard M. Murray. Journal of Open Source Software (JOSS), 2023.
- Single day construction of multi-gene circuits with 3G assembly. Andrew D Halleran, Anandh Swaminathan, Richard M Murray. 2018 Synthetic Biology: Engineering, Evolution and Design (SEED) Conference.
- Control Theory for Synthetic Biology: Recent Advances in System Characterization, Control Design, and Controller Implementation for Synthetic Biology. Victoria Hsiao, Anandh Swaminathan, and Richard M. Murray. IEEE Control Systems Magazine, 38(3):32-62 , June 2018.
- Population regulation in microbial consortia using dual feedback control. Xinying Ren, Ania-Ariadna Baetica, Anandh Swaminathan, Richard M. Murray. Submitted, 2017 Conference on Decision and Control (CDC).
- Quantitative Modeling of Integrase Dynamics Using a Novel Python Toolbox for Parameter Inference in Synthetic Biology. Anandh Swaminathan, Victoria Hsiao, Richard M Murray. 2017 Synthetic Biology: Engineering, Evolution, and Design (SEED) Conference.
- Stochastic Gene Expression in Single Gene Oscillator Variants. Anandh Swaminathan, Marcella M. Gomez, David L. Shis, Matthew R. Bennett, and Richard M. Murray. 2016 Synthetic Biology: Engineering, Evolution and Design (SEED) Conference.
Papers:
- Fast and flexible simulation and parameter estimation for synthetic biology using bioscrape (Anandh Swaminathan, William Poole, Victoria Hsiao, Ayush Pandey, and Richard M. Murray, Journal of Open Source Software (JOSS), 2023)
- Single day construction of multi-gene circuits with 3G assembly (Andrew D Halleran, Anandh Swaminathan, Richard M Murray, 2018 Synthetic Biology: Engineering, Evolution and Design (SEED) Conference)
- Control Theory for Synthetic Biology: Recent Advances in System Characterization, Control Design, and Controller Implementation for Synthetic Biology (Victoria Hsiao, Anandh Swaminathan, and Richard M. Murray, IEEE Control Systems Magazine, 38(3):32-62 , June 2018)
- Population regulation in microbial consortia using dual feedback control (Xinying Ren, Ania-Ariadna Baetica, Anandh Swaminathan, Richard M. Murray, Submitted, 2017 Conference on Decision and Control (CDC))
- Quantitative Modeling of Integrase Dynamics Using a Novel Python Toolbox for Parameter Inference in Synthetic Biology (Anandh Swaminathan, Victoria Hsiao, Richard M Murray, 2017 Synthetic Biology: Engineering, Evolution, and Design (SEED) Conference)
- Stochastic Gene Expression in Single Gene Oscillator Variants (Anandh Swaminathan, Marcella M. Gomez, David L. Shis, Matthew R. Bennett, and Richard M. Murray, 2016 Synthetic Biology: Engineering, Evolution and Design (SEED) Conference)
- Linear System Identifiability from Distributional and Time Series Data (Anandh Swaminathan and Richard M. Murray, 2016 American Control Conference (ACC))
