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description=Personal website of Simon Scheidegger, Associate Professor at HEC Lausanne. Research in computational macroeconomics, finance, climate economics, and machine learning.;

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simon scheidegger computational economics finance and ai skip to main content simon scheidegger home cv publications working papers past activities codes teaching computational economics finance and ai simon scheidegger associate professor tenured department of economics hec lausanne visiting senior fellow grantham research institute london school of economics 2025 associate editor review of finance 2026 i develop deep learning and high performance computing methods that make high dimensional dynamic economic models computationally tractable and deploy them to answer policy questions in climate economics macro finance and mechanism design selected publications code software cv bio internef 509 ch 1015 lausanne switzerland 41 21 692 33 96 simon scheidegger unil ch github google scholar x twitter deep learning high performance computing macro finance climate economics research my research lies at the intersection of computational macroeconomics finance and artificial intelligence i build deep learning methods and scalable numerical frameworks for solving high dimensional dynamic models that were long considered computationally intractable these tools allow richer quantitative analysis of climate policy macro finance dynamic contracting and asset pricing my work has appeared in outlets including econometrica the review of economic studies the journal of financial economics the economic journal and the annual review of economics featured work recent publication machine learning for dynamic incentive problems gaussian process machine learning for solving dynamic incentive problems published in the review of economic studies 2026 restud code new paper equilibrium world models structural world models a deep learning method for solving dynamic stochastic economic models ssrn arxiv pdf slides open research software the climate in climate economics open source code for modern climate emulation and integrated assessment work in economics restud code news september 2026 machine learning for dynamic incentive problems with p renner published in the review of economic studies past visits service visiting scholar upenn economics january june 2023 visiting assistant professor mit sloan october november 2019 visiting faculty yale cowles foundation 2018 2019 visiting fellow hoover institution stanford 2015 2017 associate editor journal of financial econometrics 2023 2025 research areas computational macroeconomics and finance machine learning for dynamic economic models climate economics and integrated assessment high performance computing and numerical methods new lecture notes deep learning for solving and estimating dynamic models in economics and finance lecture script and accompanying codes e book quantecon pdf arxiv code appointments service hec lausanne associate professor tenured department of economics london school of economics visiting senior fellow grantham research institute 2025 deutsche bundesbank research professor forschungsprofessor research centre 2026 bank for international settlements bis research fellow 2025 2026 review of finance associate editor 2026 present quick access view cv summary working papers teaching google scholar 2026 simon scheidegger hec lausanne simon scheidegger unil ch