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Waheed Qureshi

Founder & CEO
WMQ Investments

Waheed Qureshi

Founder & CEO
WMQ Investments

Waheed Qureshi

Founder & CEO
WMQ Investments
 

Waheed Qureshi

Founder & CEO
WMQ Investments

Waheed Qureshi

Founder & CEO
WMQ Investments

Waheed Qureshi

Founder & CEO
WMQ Investments
2024 Sample Attendee List

Participate in an informal and active discussion with colleagues and other payment integrity domain experts. This is a round-table style discussion to ask questions to the broader group of experts, collaborate, learn best practices and do a deeper dive on innovative solutions. Bring your biggest challenges for the group discussion.

Open to Payers & Providers Only.

 

Chris Jones

Director of Product Management
BrainChip

Chris Jones, Director of Product Management at BrainChip, brings over 25 years of experience in technology solutions. He began his career at AT&T in data center solutions, later co-founding a pioneering video streaming platform. His entrepreneurial journey includes ventures in manufacturing/ecommerce, AI, SaaS, and robotics. Recently, he led Software Development at 3DEO and served as a Sr. Product Manager at Meta/Facebook, focusing on ML platform development.

Chris Jones

Director of Product Management
BrainChip

Chris Jones

Director of Product Management
BrainChip

Chris Jones, Director of Product Management at BrainChip, brings over 25 years of experience in technology solutions. He began his career at AT&T in data center solutions, later co-founding a pioneering video streaming platform. His entrepreneurial journey includes ventures in manufacturing/ecommerce, AI, SaaS, and robotics. Recently, he led Software Development at 3DEO and served as a Sr. Product Manager at Meta/Facebook, focusing on ML platform development. Chris holds dual BAs in Psychology and Computer Science from Thomas Edison State University, an MBA from Georgia Tech, and a Master of Computer Science from the University of Illinois at Urbana-Champaign.

 

 

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.


His expertise spans Applied Math, High-Performance Computing, Computational Chemistry and Biology, Health Science, and Medical Therapeutics, enabling his to guide his team in exploring new frontiers. He has a deep understanding and application of Generative AI, AI Safety and Trustworthiness, Natural Language Processing, Applied Mathematics, Software Engineering, Modeling and Simulations, Quantum Mechanics, Data Integration, Causal Inference/Reasoning, and Reinforcement Learning. These competencies are crucial in developing scalable AI/ML models and computing infrastructures that accelerate scientific discoveries, enhance computer-aided design, and refine autonomous decision-making.

Author:

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.


His expertise spans Applied Math, High-Performance Computing, Computational Chemistry and Biology, Health Science, and Medical Therapeutics, enabling his to guide his team in exploring new frontiers. He has a deep understanding and application of Generative AI, AI Safety and Trustworthiness, Natural Language Processing, Applied Mathematics, Software Engineering, Modeling and Simulations, Quantum Mechanics, Data Integration, Causal Inference/Reasoning, and Reinforcement Learning. These competencies are crucial in developing scalable AI/ML models and computing infrastructures that accelerate scientific discoveries, enhance computer-aided design, and refine autonomous decision-making.

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.


His expertise spans Applied Math, High-Performance Computing, Computational Chemistry and Biology, Health Science, and Medical Therapeutics, enabling his to guide his team in exploring new frontiers. He has a deep understanding and application of Generative AI, AI Safety and Trustworthiness, Natural Language Processing, Applied Mathematics, Software Engineering, Modeling and Simulations, Quantum Mechanics, Data Integration, Causal Inference/Reasoning, and Reinforcement Learning. These competencies are crucial in developing scalable AI/ML models and computing infrastructures that accelerate scientific discoveries, enhance computer-aided design, and refine autonomous decision-making.

AI Hardware & Edge AI Summit - Sample Attendee List 2024