Nathan Call is responsible for helping develop, drive, and communicate strategy for the Global Technology organization. In this role, he works to understand key market and competitive trends and activities, line of business strategies, technology objectives and programs, and strategic initiatives. He partners with senior leaders in the organization to develop and communicate three to five year technology strategies, priorities, and initiatives to senior executives, including the management team and board of directors. Nathan has been with Bank of America since 2010 in a variety of roles.

Anne-Flore Elard is a practitioner in data, data science, and analytics, trained in statistics and management with an MBA from MIT Sloan. Driven by the value-add that well-managed data and data science can bring to businesses, she has led a machine learning and artificial intelligence teams at Deloitte, Scotiabank, and Kinaxis. Today, she works at Kinaxis on a portfolio of advanced analytics innovations with the goal to bring them to market.

Hassan Lionel Hijazi received a Ph.D. in Computer Science from Aix-Marseille University while working at Orange Labs - France Telecom. During his early career, Hassan was part of the Computer Science Lab of the Ecole Polytechnique in France, then a researcher at National ICT Australia and the Australian National University. Hassan is currently a staff scientist at Los Alamos National Laboratory. His main field of expertise is mathematical optimization. Hassan was the laureate of the 2015 Rising Star Award by the Australian Society for Operations Research. In 2021, Hassan was the winner of the ARPA-E Grid Optimization Competition, ranking 1st across all divisions. In 2022, he won the Monarch of the Mountain round, accumulating $1.5M in total prize money. Hassan continues to work on Gravity, an open-source modeling language for mathematical optimization.

Lama Nachman is an Intel fellow and Director of Intelligent Systems Research Lab in Intel Labs. Her research is focused on amplifying human potential with AI through Responsible Human AI teaming. She leads a multi-disciplinary team of researchers that explore new user experiences, sensing systems, algorithms and applications and transfer these capabilities to biz units to impact future Intel products. Lama has 26 years of experience in the areas of context aware computing, human/AI systems, multi-modal interactions, sensor networks, computer architecture, embedded systems, and wireless technologies. One of the most notable achievements of Nachman's career is an Intel collaboration with Professor Stephen Hawking.

Dr. Jon Orwant is a Senior Engineering Director of Google AI and leads their Operations Research organization, using mathematical optimization to improve the efficiency of Google and its partners. At Google, he has managed machine learning, visualization, and search teams, and co-created the Ngram Viewer. Prior to joining Google, he was a Director of Research at France Telecom, CTO of O'Reilly Media, and a Lecturer at MIT. He received his BS, MS, and PhD from MIT.

Rajneesh Vijh is responsible for developing strategic alliances, partnerships, and projects to further facilitate the strategy for the Global Technology organization. In this role, Rajneesh helps to create a vibrant technology ecosystem through external engagements with key stakeholders to support the discourse around public policies, technological advancements, and applied research that directly feeds into implementation of the overall strategy. His focus is on complex SME projects that are related to artificial intelligence, advanced verification methodologies/frameworks, and skills composition to conduct robust scenario analysis for LOBs. Taking into consideration global competitive dynamics, he further provides strategic support on legal and regulatory issues to help navigate the geo-political risks across regions in which the organization operates. Rajneesh has been with Bank of America since 2019.

Yentai Wan is the Director of Network Planning & Optimization program in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.

Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering from Georgia Institute of Technology in 2006. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is currently an Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute.