About Me

I'm a postdoctoral researcher in the Climate Change and Future Cities group at the Finnish Meteorological Institute. I work on climate change related impact modeling, and especially how climate change will affect cities and urban areas. My expertise is in ML and statistical modeling, and applying them to urban modeling and downscaling of climate data.

Before my current position, I was a doctoral researcher in the Inverse Problems Group at Aalto University under the supervision of prof. Nuutti Hyvönen. There, I worked on Bayesian optimal design methods and their applications in inverse problems and imaging.

Outside of work, I enjoy sports and exploration, and especially activities that combine of these: sailing, hiking, and ski touring. I currently hold the position of vice-commodore and treasurer (Skattmästare) at Helsingfors Segelsällskap (HSS), one of the oldest and largest sailing clubs in Finland. HSS was founded in 1893 and is proud to have one of the largest fleets of classic keelboats in the world.

I have also previously been active in Aaltoes, the student entrepreurship society in Aalto University, and was the president of the alumni organization Tuolinkantajat, and a Board Member in the alumni initiative Tuolinkantajat Ventures.

You can contact me at firstname.lastname@fmi.fi, or alternatively at firstname.lastname@proton.me

Projects

• ClimAirPathways: Science based pathways to reduce urban emissions and improve air-quality. Funded by the Research Council of Finland
• SmartClim: Providing a comprehensive, dense, and hierarhical measurement network to monitor conditions in the Finnish Capital Region. Supported by an infrastructure grant from the Research Council of Finland.
• Safe@Sea: High resolution wave and ship icing modeling based on DestinE Extremes Digital Twin data. Collaboration with Met Norway.
• ILMOS: Urban climate measurements and modeling for the cities in the Finnish Capital Region.

Publications

• Burger, M., Hauptmann, A., Helin, T., Hyvönen, N., & Puska, J. P. (2021). Sequentially optimized projections in x-ray imaging. Inverse Problems, 37(7), 075006.
• Helin, T., Hyvönen, N., & Puska, J. P. (2022). Edge-promoting adaptive Bayesian experimental design for X-ray imaging. SIAM Journal on Scientific Computing, 44(3), B506-B530.
• Helin, T., Hyvönen, N., Maaninen, J., Puska, J-P. Bayesian design of measurements for magnetorelaxometry imaging. Inverse Problems
• Nousianen, J., Puska, J-P., Helin, T., Hyvönen, N., Kasper, M. The power of prediction: spatiotemporal Gaussian process modeling for predictive control in slope-based wafefront sensing.

Theses

• Optimizing Heating Patterns in Thermal Tomography, M. Sc. Thesis, Aalto University (2018)
• Bayesian Optimal Experimental Design in Imaging, D. Sc. Thesis, Aalto University (2024)