Viveca Lindahl
About Viveca Lindahl
Viveca Lindahl is a Data Scientist currently working at Northvolt in Stockholm, Sweden, with a strong academic background in Engineering Physics and a PhD in Physics. She has extensive experience in data science and research, having worked at various institutions including Uppsala University, Ericsson, and CERN.
Work at Northvolt
Viveca Lindahl has been employed as a Data Scientist at Northvolt since 2021. In this role, she focuses on control policy optimization of radio network functions, utilizing reinforcement learning techniques based on simulator data. Her work contributes to Northvolt's mission of advancing sustainable battery technology.
Education and Expertise
Viveca Lindahl earned a Master's degree in Engineering Physics from Uppsala University, where she studied from 2006 to 2011. She later pursued a Doctor of Philosophy (PhD) in Physics at KTH Royal Institute of Technology from 2011 to 2017. Her expertise includes offline reinforcement learning, time-series analysis using neural networks and LSTM, and data-driven multi-objective optimization employing active learning and Bayesian optimization techniques.
Background
Viveca Lindahl's academic and professional journey includes various roles in research and data science. She served as a Teaching Assistant at Uppsala University from 2009 to 2010 and worked as an Undergraduate Research Assistant at both CERN and the University of Washington in 2009 and 2010, respectively. Her early career also included a brief position as a Research and Development Engineer at GE Healthcare in 2011.
Previous Experience in Data Science
Before joining Northvolt, Viveca Lindahl held positions at several organizations. She worked as a Data Scientist at Ericsson from 2019 to 2021 and as a Research Engineer at BioExcel Center of Excellence for Computational Biomolecular Research in 2018. Additionally, she was a PhD student at KTH Royal Institute of Technology from 2011 to 2017, further enhancing her skills in data science and research.