Here are things I have done in the past few years or doing now, structured by the field of my interest.
2023 - now Sensor Data Analysis (Maritime and Energy)
• Internet of Things for Digital Transformation
Contributed to IEEE COINS 2024 by focusing on IoT-driven digital transformation and sustainable growth for SMEs.
• Maritime Navigation Project (COLREG3)
Developed as part of my Postdoctoral work at Linnaeus University’s IoT Lab. This project focuses on sensor data analysis for maritime navigation. Further details are available at the COLREG project.
• Future Energy Insights
Designed time-series and deep learning models for city load forecasting by analysing sensor data, with a focus on energy prediction. Published in Applied Energy (2024). DOI: 10.1016/j.apenergy.2024.124067.
e-Health
• Intelligent Wearable Project (“DiWAH” Study)
– An initiative under my Postdoctoral role that applies sensor-based analytics to wearable devices for health monitoring. More information about the project can be found at the Intelligent Wearable DiVA project.
2018 – 2019
• Data Science Consultant at IBM Sweden, Stockholm, Sweden – Managed a team of data scientists and coordinated end-to-end projects, including machine learning, IoT data analysis, natural language processing, and MLOps.
2014 – 2023
• Independent Data Science Consultant at Vildly AB, Sweden & Remote – Delivered key data engineering, analytics, and visualization solutions, including enhancements to interactive graph platforms (e.g. Plot.ly Python API and Dash) and custom analytics for interactive platforms like Mentimeter. Improved bar chart visualizations for Mentimeter
2021 – 2023
• Researcher at ZHAW Zurich University of Applied Sciences (Remote) – Participated in the “Trans-omic Approach to Colorectal Cancer” project by developing a relational database, API, and pipeline for genotyping short tandem repeat (STR) mutations in cancer patients.
◦ Key publication: “Short tandem repeat mutations regulate gene expression in colorectal cancer” with M. Verbiest and M. Anisimova, published in Nature Scientific Reports (2024) – View publication.
◦ Also collaborated on statistical data analysis and pipeline development integrating sequencing data matching with image analysis – further details can be explored via the Mucin Project.
2012 – 2023
• PhD Research at Stockholm University/SciLifeLab, Sweden – Investigated intrinsic disorder in proteins relevant to human diseases and developed the WebSTR platform for large-scale biological and medical data sharing.
2017
• “High GC content causes orphan proteins to be intrinsically disordered” paper in PLOS Computational Biology
2013
• “Evolution of disordered proteins” paper in MBE Oxford journal
2012–2013
• “Promoter architecture and expression breadth study with FANTOM5” paper in Genome Biology journal
2017
• Frontend development for Mentimeter
2024 – current
• SEFI Handbook on Transferable Competencies and Skills in Engineering Education – Currently co-authoring a chapter titled “How to evaluate interventions that teach transferable competencies and skills” (Part 5 – Evaluating needs, interventions, and outcomes) in collaboration with EPFL. More details can be found at the Call for Authors.
2023
• 3TPlay Method Training Participant – Participated in an intensive training program on the 3TPlay method to enhance innovative teaching and learning techniques.
2015
• Volunteered for 3 months in South Africa with CTEET
2014
• Organised the first PyCon Sweden
2014
• Conducted Software Carpentry at SciLifeLab
2013–2014
• Led PyLadies Stockholm
2015 – now
• Stockholm International Swimming Club – Co-founder of the international swimming school for adults in Stockholm.
2013–2014
• Taught swimming to adult beginners at SSIF.