Invited speakers

Astrid Dufaure holds a Master’s degree in Applied Physics and Physics Engineering of the University of Le Mans, France. She is currently conducting a PhD in Physics at the Institut Fresnel, Aix-Marseille University, France, under the supervision of Associate Prof. Christelle Eyraud. Her studies concern the inner structure imaging of small solar bodies.

PhD student in Prof. Carsten Wolters’ workgroup at the university of Münster. Focus on head modeling, brain stimulation in Epilepsy and Schizophrenia patients as well as modern finite element methods for the EEG and MEG forward problem.

Christelle Eyraud is Associate Professor at the Institut Fresnel, Aix Marseille Université, France. Her main research interests are in the development of algorithms for solving inverse problems from microwave measurements. Recently, she has been interested in imaging the interior of asteroids and comets.

Sarah Hamilton received her B.Sc. in Mathematics from Saint Michael’s College in 2007.  She received her M.Sc. and PhD in Mathematics from Colorado State University in 2009 and 2012, respectively. Additionally, she was a postdoctoral researcher in the Finnish Centre of Excellence in Inverse Problems Research at the University of Helsinki (2012-2014) working with Professor Samuli Siltanen.  She is currently a tenured Associate Professor in the Department of Mathematical and Statistical Sciences at Marquette University. Her research interests focus on solving inverse problems with robust methods for applications in medical imaging, in particular for Electrical Impedance Tomography.

I am an Academy of Finland Post-doc researcher in the Inverse Problems Group of Tampere University. My main research areas of interest are machine learning, data assimilation, convex/non-convex optimization,  deconvolution problems, adaptive meshing and uncertainty modelling using Bayesian statistics in inverse problems. In Inverse Days, I will present my latest work about using an ensemble of Kalman filters and data-based learning techniques to produce high spatio-temporal sequences of images from limited observations. As an application, I will show how to construct real-time images of ionospheric scintillation which are very useful in evaluating the reliability of the GNSS positioning system.

Lauri Mehtätalo has recently started as a professor in mathematical modelling for forest planning at Natural Resources Institute Finland (Luke). He did his PhD in forest mensuration in 2004, and has forked thereafter, for example, as university researcher in forest planning and professor in applied statistics at University of Eastern Finland. He has recently authored with Juha Lappi a textbook “Biometry for Forestry and Environmental Data: With Examples in R” to CRC Press. His research topics include modeling forest structure, dynamics and forest inventory. Mehtätalo will present his recent works on using stochastic geometry for estimating the properties of hidden trees in forest inventories based on terrestrial or airborne laser scanning.

Annalisa Pascarella is a Researcher at Institute of Applied Mathematics M. Picone, CNR, Roma (Italy). Her main research interests regard the formulation, implementation and validation of algorithms for the solution of the MEEG inverse problems. Recently she contributed to the development of NeuroPycon, an open-source toolbox which provides reproducible Python-based pipelines for advanced multiprocessing of fMRI, MEEG data.

Francesca Pitolli is a professor of Numerical Analysis at Università of Roma ‘La Sapienza’. Her main research interests are in the development of numerical methods for the solution of the MEG/EEG inverse problem. In particular, she works on a hierarchical Bayesian method suitable to localize deep neural sources and on random methods for reducing the dimensionality of inverse problems.

Abdu Mohammed is an Assistant Professor of Applied Mathematics at Bahir Dar University, Ethiopia. His main research interests are in computational inverse problems, time series analysis and its applications. He is one of the main organizers of the annual Ethiopian Maths Camp which has been delivered since 2013 to school students with a motto “Learning Mathematics through fun”. In Inverse days, I will present on “The Spatiotemporal Dynamics of Water Hyacinth over Lake Tana of Ethiopia using Hidden Potts prior and Dynamic Linear Models”.

Sara has a Phd in Mathematics and Applications. She is post-doc at Consiglio Nazionale delle Ricerche, Genova, Italy, visitor researcher at Aalto University, Finland, and co-founder of BEES (Bayesian Estimation of Engineering Solution) s.r.l. Her research focuses on the development of statistical and numerical approaches for time-series analysis and for solving inverse problems in neuro-/onco-biology.

I am Associate Professor at the Mathematics Department in Genova, Italy, and co-founder and CEO of the startup BEES srl (Bayesian Estimation for Engineering Solutions). My research focuses on Applied and Computational Mathematics for Inverse Problems, with applications in Neuroscience, Astronomy and LIDAR data analysis. I am particularly interested in Bayesian methods and Monte Carlo techniques.

Liisa-Ida defended her PhD thesis on full-wave radar tomography of complex, high-contrast targets in Tampere University in October 2021. Her research interests include applied mathematics and high-performance computing, especially the inverse problems involving the finite element time domain method and applied in the context of tomographic imaging of the interior structure of an asteroid.

I am currently a postdoctoral fellow at Tampere University. My research interests are in complex systems, statistical signal processing, machine learning, computational modeling, and nonlinear time series analysis, with applications in functional neuroimaging (magnetoencephalography and electroencephalography) including brain connectivity estimation and microelectrode array signal analysis.

I am Alessandro Viani and in 2019 I got the Master Degree in Applied Mathematics at the University of Genova, Italy. I am currently pursuing a PhD in Mathematics and Applications under the supervision of Prof. Alberto Sorrentino at the university of Genova in the field of Monte Carlo methods for Bayesian Inference with application to the Magneto/Electro-EncephaloGraphy inverse problem.

Anne Virkki is a research scientist at the Department of Physics of the University of Helsinki and at the Finnish Geospatial Research Institute of the National Land Survey. Before her current positions, she worked from April 2016 to March 2021 in the Arecibo Observatory in the planetary radar science group, leading the group from 2018 to 2021. She specializes in physical properties of asteroids and numerical modeling of radar scattering.

Prof. Carsten Wolters’ main research areas are the development of new methods and applications for multimodal brain imaging and brain stimulation to reconstruct and manipulate neuronal networks in the human brain. The new methodology is applied in the field of neuroscientific brain research and in clinical applications such as epilepsy and schizophrenia.

Konstantinos Zygalakis is a Reader in the Mathematics of Data Science at the University of Edinburgh. He received a 5-year Diploma in Applied Mathematics and Physics from the National Technical University of Athens in 2004, and his MSc and PhD from the University of Warwick in 2005 and 2009 respectively. Before Edinbugh he was a David Chrigton fellow at the University of Cambridge and held further postdoctoral positions at the University of Oxford and the Swiss Federal Institute of Technology, Lausanne as well as a lectureship in Applied Mathematics at the University of Southampton. His research spans a number of areas in the intersection of applied mathematics, numerical analysis, statistics and data science. In 2011, he was awarded a Leslie Fox Prize in Numerical Analysis (IMA UK) and he is a Fellow of the Alan Turing Institute since 2016. He has co authored over forty research articles, as well as a graduate textbook in the Mathematics of Data Assimilation.