I am an Associate Professor in Finance at the Telfer School of Management at the University of Ottawa. My research mainly focuses on the effect of governance related regulations, the board of directors, firm disclosure and financial misconduct on shareholder value.
Research Description
Ethan Miller is a researcher who focuses on the intersection of artificial intelligence and clean energy. He is interested in developing machine learning algorithms and other AI-based approaches to optimize the efficiency of renewable energy systems, such as wind and solar farms. In addition, Ethan is exploring the use of AI for demand-side management in the electricity grid, with the goal of reducing energy consumption and mitigating the need for fossil fuel-based generation. He is also interested in the ethical and societal implications of his work and is committed to ensuring that the development and deployment of AI in the energy sector is responsible and benefits society as a whole.
Ph.D. in Computer Science
2014- 2018
Master of Science in Data Science
2012 - 2014
Bachelor of Science in Statistics
2008 - 2012
Massachusetts Institute of Technology (MIT)
University of California, Berkeley
Carnegie Mellon University
Academic Experience
Professional Experience
Data Science Researcher, Tech Innovations Inc. 2019 - Present
- Conducting research on machine learning models for predictive analytics in the healthcare domain.
- Developing algorithms to optimize data processing, resulting in a 20% reduction in processing time.
- Collaborating with cross-functional teams to create innovative solutions for predictive maintenance in IoT systems.
Senior Data Scientist, Global Analytics Solutions 2016 - 2019
- Led a team in developing fraud detection algorithms, decreasing fraudulent transactions by 15%.
- Implemented data-driven strategies for customer segmentation, increasing conversion rates by 18%.
- Collaborated with stakeholders to provide actionable insights for product enhancement.
Data Science Consultant, Analytics Partners LLC 2014 - 2016
- Conducted statistical analyses on large datasets to identify trends and opportunities for optimization.
- Created predictive models for sales forecasting, leading to a 25% improvement in accuracy.
- Provided data-driven recommendations to clients across various industries, including finance and retail.
Junior Data Analyst, Innovation Insights Co. 2012 - 2014
- Assisted in data collection, cleaning, and analysis to support research projects.
- Contributed to the development of machine learning models for sentiment analysis.
- Produced reports and visualizations to present data findings to stakeholders.