Cheryl Ingstad serves as the Director of the Artificial Intelligence & Technology Office (AITO) for the Department of Energy (DOE). AITO was created on September 5, 2019, to serve as the central body responsible for the development, coordination and application of Artificial Intelligence, building upon the Department of Energy’s capabilities as a world-leading enterprise in scientific discovery and technological innovation.

Ingstad comes to DOE from 3M Company, where she led critical commercialization efforts in AI/Machine Learning research and development. Before 3M, Ingstad was an early leader in the Defense Intelligence Agency’s Information Operations Branch.

Ingstad holds a MA in International Economics and International Relations from Johns Hopkins University’s School of Advanced International Studies, and a BS from Georgetown University. She is also a graduate of the US Army Signal Officer Basic Course and the US Army Intelligence Analysis Course.

Is Principle Design Engineer at Cyient Limited, Hyderabad in Turbo Machinery Group. He received a Bachelor of Technology Degree in Mechanical Engineering from IIT Delhi in the year 2001. He has around 18 years of engineering design & management experience in Green Field & Brown Field projects while working with OEMs like Hitachi Mitsubishi Hydro, Japan; Voith Hydro, Austria; Alstom Power, India & BHEL, India with particular focus on Hydro Generators. Apart from core mechanical engineering experiences, he is an Optimization, Artificial Intelligence & Machine Learning enthusiast.

Isabelle is a Data Infrastructure Engineer at Lonza. She is a member of the Operations Technology group, which supports the Specialty Chemicals division. Prior to this, Isabelle was working as a Systems Engineer at OSIsoft, helping customers gain insights from their operations data. She holds a Master’s degree in Chemical Engineering from McGill University.

Leslie Rittenberg is the Refinery & Process Manufacturing Product Manager for Beyond Limits, an industrial-grade artificial intelligence technology company built for demanding sectors including energy and utilities. Leslie has over 30-years of experience in the Power and Oil & Gas industries. Prior to joining Beyond Limits, Leslie held leadership positions with a major O&G company for multiple refining assets as well as their Corporate Downstream Technology Center, where she led the development of their downstream manufacturing digital strategy. Leslie recently joined the Beyond Limits team that brings in a unique brand of Cognitive AI to solve complex business and operational problems in manufacturing settings such as refineries. Beyond Limits’ use cases go beyond conventional AI by incorporating and encoding human business reasoning in combination with live plant data to impact operational frontline decision making. Leslie holds an MBA and a degree in Chemical Engineering.

Luis Ruano is a Technical Commercial Engineer at Beyond Limits with a background in chemical engineering. Prior to joining Beyond Limits, an industrial AI technology company, supported clients in the Oil & Gas industry by strategically analyzing their needs and discovering opportunities to help them implement AI solutions that will generate the greatest value by addressing their most pressing problems. As a technical product expert, Luis consults with clients to identify areas that are ripe for disruption and a good fit for Beyond Limits’ suite of solutions to maximize efficiency and transform workflows. Luis has also spearheaded the digital transformation development for a multinational oil and gas corporation, as well as worked as an offshore maintenance and production engineer in the Gulf of Mexico. Luis received his bachelor’s degree in Chemical Engineering from Brigham Young University.

Yves Gorat Stommel is currently working as the head of the Cognitive Solutions team, with a strong focus on setting-up and implementing a comprehensive, company-wide Artificial Intelligence and data analysis strategy.
In his current function, Yves’ motivation stems from bringing together people, technology and positive change. By continuously questioning, improving and re-imagining operational and business processes – amongst others by looking at the company through the new “lens” of enabling and disruptive Artificial Intelligence – value is created for both the company and its employees. This does not only require identifying, benchmarking and implementing best practices, but more importantly targeted communication, linking knowledge and an emphasis on global instead of local mindsets and approaches.

Misbah has worked on applications of Advanced Process Controls and Machine Learning based predictive models in the chemical manufacturing industry. With background in Chemical Engineering, he augments theoretical process engineering with modern data driven approaches to optimize production processes.