My AI research experience spans 5 years, during which I have worked across various domains and projects. Here are some key highlights: 1. **Ethical AI Development**: A significant part of my research has focused on AI ethics, particularly addressing bias and fairness in machine learning models. I’ve contributed to developing ethical guidelines and frameworks to ensure AI systems are transparent, accountable, and unbiased. 2. **Healthcare AI Models**: I’ve worked on AI applications in healthcare, such as AI medical devices and predictive algorithms for patient outcomes. This included designing machine learning models for early diagnosis and real-time monitoring, ensuring they meet safety and ethical standards. 3. **AI-Powered Systems for Global Challenges**: I contributed to a project on **Real-Time AI Pandemic Prediction and Response Systems**, utilizing AI for large-scale data analysis to predict and manage public health crises. 4. **AI and Governance**: My research also intersects with global governance, focusing on how AI can be applied to improve decision-making processes in governmental bodies. This work led to projects in AI-driven policy-making and national intelligence systems. 5. **Collaboration in AI Automotive Industry**: I've held internships in the AI automotive industry, researching how AI can optimize manufacturing processes, enhance vehicle safety, and improve autonomous driving technologies.

Quincy Simms

About

Publications

Leadership for Improved Healthcare Outcomes

Using Predictive Analytics to Improve Healthcare Outcomes

2021

Education

Cornell University

Ph.D, Computer Science / June, 2026 (anticipated)

Ithaca, New York, United States of America

Experience

Agent.AI

Artificial Intelligence Researcher

lead the application of end-to-end evaluation methods to understand how AI systems can be designed with equity, fairness, safety, and robustness as first-class concerns alongside business performance. Collaborate with applied researchers and applied engineering teams to drive multiple research projects. Formulate problems, gather data, generate hypotheses, develop and conduct model and algorithm evaluations, conduct studies and experiments, synthesize results, and enable tooling to deliver safe, ethical business applications. Act as a subject matter expert and inspiring leader in responsible AI, internally for the company and at industry conferences, and contribute to publications and thought leadership content.

AI Researcher / May, 2023 — September, 2024

Participate in research and development efforts to innovate and refine predictive models for direct mail campaigns, implementing state-of-the-art machine learning algorithms to enhance conversion probability accuracy. Coordinate and run prospects selection as part of direct mail campaigns. Collaborate closely with cross-functional teams including engineers and marketing specialists to design and execute experiments aimed at optimizing campaign outcomes. Evaluate the impact of model enhancements on revenue metrics and provide actionable insights to stakeholders. Present findings and recommendations to stakeholders and contribute to strategic discussions on enhancing campaign effectiveness and ROI. Continuously propose and explore creative ways to leverage machine learning to improve marketing strategies and drive business growth.

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