Christian Álvarez Peláez Researcher Reganosa

Christian studied Physics at the University of Oviedo and completed a Master's in Statistics at the University of Santiago de Compostela. He is an expert in data science, optimization, and applied mathematics, particularly in the energy sector. His responsibilities include data processing and analysis, building neural networks and clustering algorithms, as well as developing and researching ML models and optimization techniques. Currently, he is creating new features with strong mathematical foundations for Reganosa's digital solutions through data analysis, ML, AI, and mathematical optimization.

Dr. Andrea Baggio Head of Optimization Services swissQuant

Andrea Baggio leads the Optimization Services team within the Wealth Management Technologies division of swissQuant, where he is responsible for developing and implementing advanced optimization solutions. He holds a Ph.D. in mathematics from the Operations Research group at ETH Zurich, with expertise in optimization, modeling, and algorithms gained through his doctoral and postdoctoral work. Andrea consults with banks and asset managers on complex optimization challenges and conducts research on cutting-edge models and algorithms for portfolio optimization. He also serves as a member of the swissQuant Methodology Board.

Saily Bhagat Data Scientist Aditya Birla

Saily Bhagat, a seasoned data scientist with four years of experience, has left an indelible mark on diverse industries. Graduating with a degree in Computer Science, Saily quickly ascended in the field, demonstrating exceptional analytical skills. From optimizing manufacturing processes in the automobile sector to streamlining workflows in manufacturing and predicting occupancy rates in real estate, Saily's versatility shines through. Her foray into the telecommunications sector showcased her ability to address complex challenges, from network optimization to customer behavior analysis. Throughout her career, Saily's commitment to staying at the forefront of technological advancements and her advocacy for diversity and inclusion have positioned her as a trusted expert and mentor in the dynamic realm of data science.

David Buxton Founder & CEO Decision Lab

David Buxton is Decision Lab’s founder and CEO. Driven by a passion for using data and tech to help businesses make better decisions, he has acquired a wealth of experience delivering industry leading solutions for some of the worlds’s largest and most respected companies. He is an early adopter of digital twin technologies and a pioneer of decision intelligence platforms.

 Decision Lab was formed in 2011 with a focus on delivering business modelling, simulation, and optimisation across industry verticals. Since then, Decision Lab has mastered and employed a range of modelling and data science techniques, including statistical and machine learning methods, data engineering, and software development and visualisation.

 Led by David, Decision Lab is expanding the field of decision intelligence through industrial application and the development of human-AI teaming and AI-led decision arbitration.

Ana Coelho Senior Consultant LTPLabs

With background in industrial and management engineering, Ana Coelho has worked in projects related to market modelling and stock management. Her passion for analytics and programming motivates her every day to learn more and apply her knowledge on the field.

Hans Martin Espegren ML/Data Science Team Lead BAMA

Hans Martin Espegren is the Head of Data Science at BAMA, the largest distributor of fruit and vegetables in the Nordics. With extensive experience in machine learning and optimization within mobility and logistics, Hans Martin has been instrumental in advancing BAMA's digital transformation over the past four years. Under his leadership, BAMA has developed a modern data platform and successfully implemented multiple machine learning models and optimization algorithms, generating significant business value.

Wouter de Koning Business Intelligence Consultant Royal Lemkes

Wouter de Koning holds a MSc degree in Applied Mathematics, with a specialization in optimization, at the Delft University of Technology. He has been working for five years at Royal Lemkes, one of the leading plant service partners for large retailers across 34 countries in Europe. At Royal Lemkes, Wouter introduced the use of mathematical optimization and successfully implemented several projects. He is passionate about translating complex mathematical concepts into practice, so that everyone can understand the beauty that mathematics has to offer.

Matthijs Kieskamp Data Science Leader KLM Royal Dutch Airlines

Matthijs holds a master’s in industrial engineering with a strong focus on Operations Research. For 9 years working at KLM Royal Dutch Airlines, he has built a thorough understanding of the airline industry. Always focused on data science topics, some of his past highlights include: 

• Building KLM's first real-time streaming prediction model 
• Contributing to KLM's first engine that combines ML-based predictions with OR-based optimization 

• Building an AI-driven disruption management solver at a major US airline as part of the Digital Airline Operations partnership with Boston Consulting Group 

Wendell Kuling Manager Data Science & Analytics Jumbo Supermarkten

Wendell Kuling is a senior Data and Analytics executive with over 25 years of experience. He has successfully led high-performing teams in data science, analytics and operational excellence. Currently serving as the Manager of Data Science and Analytics at Jumbo Supermarkten, Wendell focuses on accelerating data transformation through concrete use cases and modern technology. Jumbo, a leading supermarket chain in the Netherlands and Belgium, prioritizes a “customers first, data second” approach to data and analytics. 

Dr. Kunal Kumar Principal Data Scientist KLM Royal Dutch Airlines

Kunal Kumar is a data science leader with over 9 years of experience applying advanced analytics to solve complex problems across aviation, manufacturing, supply chain, and humanitarian logistics. At KLM Royal Dutch Airlines, he leverages his expertise to accelerate digital transformation and has played a key role in developing over 10 decision-support tools that significantly impact various operational domains.   His influence extends beyond KLM. Through their partnership with Boston Consulting Group, Kunal shares his expertise, helping global airlines harness the power of optimization. He is also passionate about advancing the field and actively contributes to AI research at Utrecht University, where he co-leads a project focused on building robust airline operations. 

Ana Patrícia Lopes Andrade Production Planning Manager Amorim Group

Ana Andrade has six years of planning, has experience in industrial management. Amorim is developing a platform with LTP and implementing optimization models and algorithms for production planning, generating significant value to the company and better the experience of the customer. Ana is focusing on the digital transformation business to get the delivery date of orders in a day, in an industry with different applications, from the sealing to the flooring.

Dr. Sara Neira Castro Researcher Reganosa

Sara holds a PhD in Nuclear Physics.  After graduating in Physics from the University of Santiago de Compostela, she further specialized in numerical simulation with a master's in Industrial Mathematics.

With four years of research experience, Sara completed her thesis in Medical Physics and Biomathematics, working on the development of mathematical models and Monte Carlo simulations for molecular radiotherapy,

which led to several publications. Since 2022, she has been a researcher at Reganosa, focusing on the development of digital mathematical tools to improve energy efficiency, particularly through the definition and implementation of optimization algorithms.

Martine Rønneberg Data Scientist BAMA

Martine Rønneberg is a Data Scientist at BAMA, the largest distributor of fruit and vegetables in the Nordics. She had the main responsibility for developing our MILP optimization model. With two years at BAMA and several years of experience as a data science consultant, Martine brings strong expertise in mathematical optimization. She holds a master’s degree from NTNU, where she specialized in optimization. Martine has been essential in enhancing BAMA's logistics and transport efficiency through advanced data science techniques.

Dr. Z. Caner Taşkın ICRON’s Chief Technology Officer ICRON

This topic is presented by Dr. Z. Caner Taşkın – ICRON’s Chief Technology Officer and a Professor in the Department of Industrial Engineering at Boğaziçi University – who specializes in large-scale mixed-integer programming and supply chain optimization software solutions. Caner received his Ph.D. from the University of Florida. He was named the recipient of the 2010 Pritsker Doctoral Dissertation Award given by the Institute of Industrial Engineers (IIE) and his research has been published in many leading Operations Research journals.

Iris van Heck Data Scientist Jumbo Supermarkten

Iris van Heck is a Data Scientist at Jumbo Supermarkten. With a strong academic background in Industrial and Applied Mathematics, Iris has a deep understanding of mathematical optimization and its practical applications. Currently, Iris is focusing on empowering business decision-making through mathematical optimization in various business domains. 

Leon Verschoor Director Operations and Digital Royal Lemkes

Leon Verschoor is Directeur Operations and Digital at Royal Lemkes. Educated in business administration and public administration, he has spent over 20 years improving organizational performance. Mathematical optimization offers unprecedented opportunities to enhance the supply chain. And once again, the right people make the difference. To improve performance and use available resources sustainably, the key lies in leadership, digitalization, and mathematical optimization.