David Sweet

Curriculum vitae
Chaos in Geometrical Optics
- MoMath Exhibit (2018)
- Nature Article (2000)
Teaching
- Experimental Optimization Guest lecture for Data Driven Organizations, Prof. Andrew Catlin, Yeshiva University, October 2021
- Predictive models, Course in AI masters program, Yeshiva University, Summer 2021
- Optimization of High-Frequency Trading Systems Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2019
- Optimization of High-Frequency Trading Systems Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2018
- Optimization of High-Frequency Trading Systems Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, April 2017
- High Frequency Trading Guest lecture for Trading Strategies and Systems, Prof. Vasant Dhar, NYU Stern School of Business, January & April 2014
Books
- D. Sweet, Tuning Up: From A/B testing to Bayesian optimization (Manning Publications)
- D. Sweet, et. al., KDE 2.0 Programming (MacMillan Publishing, 2000). [pdf]
- Contributing author, Chs. 34-38, N. Wells, Special Edition: Using KDE (MacMillan Publishing, 2000).
Podcasts