Matthew Lohens
Machine Learning Engineer @Sargent & Lundy
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WORK HISTORY
Machine Learning Engineer @Sargent & Lundy
Salt Lake City, UT, US
As a Machine Learning Engineer at Sargent & Lundy, I focus on integrating AI, machine learning, and data analytics into both engineering workflows and business operations to enhance efficiency, accuracy, and optimization. My key responsibilities include: Developing AI-Powered Engineering Tools – Creating ML models and automation tools that help engineers streamline complex design processes, reduce manual effort, and minimize errors. Optimizing Engineering & Business Workflows – Identifying inefficiencies in engineering and business processes, then leveraging AI-driven solutions to improve decision-making, project execution, and operational efficiency. Enhancing Data Utilization & Predictive Analytics – Structuring and analyzing engineering and business data to extract meaningful insights, enabling predictive modeling for project planning, risk management, and resource optimization. Machine Learning for Business Strategy – Applying ML to support business intelligence, forecasting, and strategic decision-making, helping the company use data more effectively to drive growth and innovation. Collaboration & Implementation – Working with engineering, operations, and business teams to ensure AI solutions align with both technical and strategic goals while seamlessly integrating into existing workflows. Research & Innovation – Staying at the forefront of ML advancements to identify opportunities where cutting-edge AI can be applied to power engineering, business analytics, and decision-making.I’m excited to tackle the challenge of how best to implement AI across engineering and business functions—helping Sargent & Lundy become even more data-driven, efficient, and innovative.
EDUCATION
University of Utah
Doctor of Philosophy - PhD, Electrical Engineering / Machine Learning
University of Utah
BS, Electrical and Electronics Engineering
University of Utah
Master of Science - MS, Electrical and Electronics Engineering
University of Utah
Bachelor's degree, Electrical and Electronics Engineering
ABOUT MATTHEW LOHENS
As a Machine Learning Engineer at Sargent & Lundy and a PhD researcher in machine learning for breast cancer detection, I am passionate about leveraging AI and data analytics to revolutionize engineering, business intelligence, and healthcare applications.With a Master of Science in Electrical Engineering from the University of Utah, I have over a decade of experience in power generation, industrial facilities, and renewable energy system design. Now, I am focused on integrating machine learning into engineering workflows, business decision-making, and predictive analytics, making processes smarter, more efficient, and data-driven.In my current role, I work on: AI-driven tools that enhance engineering design, reduce inefficiencies, and optimize power system projects. Business intelligence & data analytics, applying ML to improve forecasting, project planning, and decision-making. Automation & workflow optimization for both engineering and business processes. Advanced research in ML for healthcare, where I develop AI models to improve breast cancer detection using reflectometry-based imaging techniques.I am licensed as a Professional Engineer (PE) in multiple states and thrive in solving complex challenges that bridge engineering, machine learning, and business innovation. My goal is to push the boundaries of AI in engineering consulting, ensuring that ML-powered solutions drive better decision-making, efficiency, and reliability across industries.Let’s connect if you’re working on AI for engineering, business analytics, or healthcare applications!
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