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Andreas Lindholm started their work experience in 2011 as a Control System Engineer at Volvo Aero Corporation. Andreas then worked as a Teaching Assistant at Linköping University from 2009 to 2012, where they were responsible for teaching mathematics and automatic control. In 2012, they completed their B.Sc. Thesis on Flexible Industrial Automation at Höskolan Väst.

In 2013, Lindholm became an Adjunct Research Associate at the William Sansum Diabetes Center and simultaneously worked on their Master's thesis at UC Santa Barbara. Their thesis focused on investigating periodic and robust invariant sets for a Model Predictive Control (MPC)-controlled artificial pancreas for diabetes type 1 patients.

From 2013 to 2018, Lindholm pursued their PhD in Machine learning and Monte Carlo methods for learning dynamical systems at Uppsala University. During this time, they also worked as a Postdoctoral Researcher at Uppsala University from 2018 to 2020. Their roles involved conducting research, publishing articles in scientific conferences and journals, taking advanced PhD level courses, and teaching at bachelor, master, and PhD level courses.

Since 2020, Lindholm has been working as a Machine Learning Research Engineer at Kognic.

Andreas Lindholm completed their education in a chronological manner. Andreas first attended Nils Ericsonsgymnasiet from 2005 to 2008, where they pursued the Naturvetenskapsprogrammet. Afterward, they joined Linköping University from 2008 to 2013, where they obtained a Master of Science (Civilingenjörsexamen) degree in Applied physics and electrical engineering - International. Additionally, they participated in an Erasmus Exchange program at ETH Zürich from 2010 to 2011, where they further studied applied physics and electrical engineering.