Your Data. Explained.
At katalytics, we believe in turning data into meaningful insights that lead to better decisions.
With a focus on transparency and explainability, we ensure that every piece of data tells a story you can act upon.
Our Core Team
Victor Flores, PhD
Principal Scientist & Consultant
PhD in Civil Engineering with a focus on data-driven Bayesian analysis of tabular data as well as dynamical structures and damage assessment. Victor specializes in applying data-driven solutions to engineering and business challenges.
Utban Ahmed, PhD Cand.
Mathematical Modelling Specialist
Specializes in the mathematical modelling of wave phenomena in fluids, with a focus on computational acoustics, perturbation theory, and physics-informed, data-driven models.
Héctor Arias, MSc
Civil Engineer & Data Analyst
With an MSc in Energy Economics, Héctor brings extensive experience in project management, construction design, and data analytics. Has designed infrastructure systems and developed data-driven models for engineering and energy projects.
Our Board of Experts
Xinyu Jia, PhD
Bayesian Inference, Structural Dynamics
Dr. Jia specializes in Bayesian learning of physics-based models, uncertainty quantification in structural dynamics, and structural reliability. His research applies advanced modeling techniques to improve risk assessment and system reliability in Mechanical and Civil Engineering systems.
Prof. Costas Papadimitriou
Structural Health Monitoring, Uncertainty Quantification
Prof. Papadimitriou specializes in Bayesian uncertainty quantification, structural health monitoring, and probabilistic structural dynamics. His expertise includes Finite Element Model updating and structural reliability, with applications in Civil and Mechanical Engineering.
Prof. Lambros Katafygiotis
Structural Dynamics, Bayesian Statistics
Prof. Katafygiotis specializes in structural dynamics, with expertise in earthquake engineering, stochastic dynamics, model updating and structural health monitoring. His work focuses on advancing structural reliability and improving system identification methods in Civil Engineering.
Our Values
Explainability
We prioritize simplicity in our models, ensuring they are easy to understand and apply. By choosing clear, straightforward solutions over unnecessarily complex approaches, we deliver insights that make sense.
Transparency
We believe in clear communication and ensuring our clients understand every step of the process. Our clients are fully informed about the data we use and the insights we deliver.
Precision
We deliver solutions with meticulous attention to detail, ensuring accuracy in every analysis and model. Precision is not just about being exact; it’s about consistently providing results you can trust.
Collaboration
We work closely with our clients, understanding their unique needs and tailoring our services to deliver maximum value. Collaboration ensures that our solutions are aligned with your goals.
Our Story
katalytics was founded on the principle that data, when properly harnessed, can be a transformative force for any organization.
What started as a passion for data science and engineering has grown into a consultancy dedicated to solving real-world problems with innovative solutions.
Our team of experts brings together diverse backgrounds in Civil and Mechanical Engineering, Machine Learning, and Bayesian analytics, creating a dynamic environment where data-driven decisions thrive.
Why Choose Us?
We are more than just data scientists – we are your strategic partners. At katalytics, we focus on understanding your unique needs and delivering solutions that are innovative and easy to implement.
Our approach emphasizes transparency, explainability, and practical results. By leveraging our expertise in data analytics and engineering, we help you make informed decisions, reduce uncertainties, and drive meaningful outcomes.
Whether you’re optimizing operations, predicting future trends, or drawing insights from your data, we’re here to support your success.
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