Marcelo Pereyra

School of Mathematical and Computer Sciences, Heriot-Watt University
& Maxwell Insitute for Mathematical Sciences

About me

I am a Professor in Statistics at the School of Mathematics and Computer Sciences of Heriot-Watt University, and the Maxwell Institute for Mathematical Sciences. My research advances the statistical foundations of quantitative and scientific imaging. Over the past 15 years, I have made important contributions to Bayesian imaging sciences and developed significant connections between the statistical, variational and machine learning approaches to imaging. I am particularly interested in  robust uncertainty quantification in imaging inverse problems, automatic calibration and verification of statistical image models, scalable Bayesian computation algorithms derived from stochastic diffusion processes, and applications of imaging with high social or enviromental value. 

Mutidisciplinary and international collaboration are central to my strategy to deliver impactful world-leading research, and over the past decade I have developed deep partnerships with other imaging scientists and mathematicians based across Europe. Developing early career talent is also central to my research ethos; I am currently involved in the supervision of five PhD students and two PDRAs, and I have supervised four PhD students and three PDRAs to completion.    

Over the past five years, my research has received significant support from Heriot-Watt University and from the British research council for Engineering and Physical Sciences (EPSRC). For more information about my EPSRC funded projects, please see my EPSRC research funding profile.

Imaging sciences develop at the fertile interface between several scientific communities and this often leads to significant communication and scientific barriers. I am committed to breaking down these barriers and fostering multidisciplinary collaboration and cross-fertilisation of ideas and techniques. For example, I have organised eleven international interdisciplinary research meetings in the UK since 2012 and I recently chaired the IMA Conference on Inverse Problems (Edinburgh, 2022). I have also delivered invited talks at interdisciplinary meetings in leading mathematics centres (e.g., CIRM, BIRS, IHP, Flatiron, Hausdorff School, INI, and ICMS); which I have used to promote multidisciplinary collaboration and strengthen relationships with imaging communities abroad.

Short biosketch

I was born in Buenos Aires, Argentina, in 1984. I studied Electronic Engineering and received a double M.Eng. degree from ITBA (Argentina) and INSA Toulouse (France), together with a M.Sc. degree from INSA Toulouse, in June 2009. In July 2012 I obtained a Ph.D. degree in Signal Processing from the University of Toulouse. Then, from 2012 to 2016, I was a Research Fellow in Statistics at the School of Mathematics of the University of Bristol on research fellowships from Europe, UK, and France. In 2017, I joined the Maxwell Institute for Mathematical Sciences & Heriot-Watt University as an Asssistant Professor in Statistics, and was then promoted to Associate Professor in Statistics in 2019 and subsequently to Professor in Statistics in 2023. I also had the honour of holding Invited Professor positions at Institut Henri Poincaré (Paris, 2019), Ecole Normale Superiéure Lyon (2023), and Université Paris Cité (2024). I am also the recipient of a Marie Curie Intra-European Fellowship for Career Development (2013), a Brunel Postdoctoral Research Fellowship in Statistics (2012), a Postdoctoral Research Fellowship from French Ministry of Defence (2012), a Leopold Escande PhD Thesis award from the University of Toulouse (2012), INFOTEL R&D award from the Association of Engineers of INSA Toulouse (2009), and ITBA R&D award from the Buenos Aires Institute of Technology (2007). I recently received the prestigious SIAM SIGEST Award in Imaging Sciences for my contributions to proximal Markov chain Monte Carlo methodology.



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