External lecturer
ENS de Lyon, Université de Lyon, AMSE 2017 - Present
Teaching econometrics, machine learning, spatial analysis and programming both at the MSc and PhD levels in various institutions. The classes use comprehensive theorising and mathematical formalisation but keep a strong focus on intuition and effective implementation using R or Python. See teaching section for details. Eval- uations available on request.
Statistical analyst
EuroLIO 06-07 / 2013
Research engineer
CNRS 2017 - Present
The project aims at documenting the distribution of economic activity in France and explain its evolution over the last 250 years. My work aims at extracting automatically the information from various collections of histori- cal maps using machine learning and image processing techniques*. Using this data, urban delineations are de- fined** to test the validity of agglometration theories at different points in time. See research section for details.
Teaching assistant
Université de Lyon 2013 - 2016
Temporary assistant professor
Université de Lyon 2016 - 2017
Research assistant
Univeristé de Nantes 06-07 / 2011
Positions
PhD in economics, I currently work as a research engineer at CNRS and an external lecturer at ENS de Lyon and other universities. My research focuses on spatial economics, and my current projects and teachings revolve around the application of machine learning models and geographical information systems to applied economic analysis. My day-to-day work involves a substantial amount of coding and scientific computing.
Profile
Using random forest, convolutional networks and image processing techniques to extract automatically build- ings and other land use (e.g. roads, crops, forests) from four French historical maps collections.
Providing a detailed understanding of the mechanisms behind neural networks and convolutional networks from an applied econometrics perspective. Models are solved mathematically and implemented from scratch.
Gorin. Neural networks for economists: A primer
Combes, Gobillon, Duranton, Gorin. A machine learning approach to mining historical map data * Ongoing
Methodology to define urban areas as a significant statistical difference between the smoothed building density and counterfactual densities computed by randomly redistributing buildings across buildable areas.
Combes, Gobillon, De Bellefon, Duranton, Gorin (2020). Delineating urban areas using building density **
Journal of Urban Economics (forthcoming)
Assessed the relative importance of accessibility, through inventor’s mobility and networks, and absorptive capacity, using a knowledge production function estimated with a spatial Durbin model.
Gorin (2017). Accessibility, absorptive capacity and the geography of innovation GATE working paper (submitted)
Computed inventor’s mobility flows across Europe from disambiguated patent data over 1975-2010. Tested the relative importance of labour market vs. amenities using a spatial filtering Poisson gravity model.
Gorin (2016). Patterns and determinants of inventors’ mobility across European urban areas GATE working paper (submitted)
Articles
Investigated the role of inventors’ mobility and network on the spatial disctribution of innovative activities across European urban areas using spatial models applied to patent datasets.
Gorin (2017). Skilled mobility, networks and the geography of innovation.
PhD thesis
Direction: N. Massard
Jury: M. Feldman, F. Lissoni, C. Autant-Bernard, R. Moreno, E. Miguelez
Assessed the impact of the University of Lyon on the local labour market through various channels, using flows of expenses from staff, students and institutions as well as regional multipliers.
Goffette-Nagot, Gorin (2019). Impact économique de l’Université de Lyon.
Technical report Other
Research
Interests
Urban economics, economic geography, spatial econometrics, machine learning, geographic information system, data mining
University of Lyon 2013 - 2017 PhD in Economics
University of Nottingham 2011 - 2012
MSc Economic development and policy analysis
University of Nantes 2010 - 2011
MSc Economic and policy analysis (first year)
Universities of Poitiers & Mateja Bela 2006 - 2009
BSc Economics and finance (double diploma)
Education
INSA Lyon Lyon, 2019 (1 week) Deep learning school
LabEx DynamiTe Florence, 2018 (1 week) Spatial data school
SEAI
Rome, 2014 (4 weeks) Spatial econometrics school
Machine learning, University of Washington
Applied machine learning with Py- thon, University of Michigan Online courses
Training
Regression, inference, panels, time-series, spatial, splines, GAM Econometrics
Skills wrench
Clément Gorin
Research engineer, CNRS
gorin@gate.cnrs.fr
GATE LSE ENS de Lyon
15 Parvis René Descartes 69007 Lyon
envelope
+33 (0) 6 95 00 42 25
phone-alt
globe stack-overflow github
Lasso, trees, SVM, neural networks, deep learning, bagging, boosting Machine learning
Rasters, vectors, geocomputations, modelling, visualisation, GDAL/OGR Spatial analysis
Asynchronous, parallel, cluster &
GPU computing, batch processing Scientific computing
Pre-processing, segmentation, tex- ture analysis, math. morphology Image processing
Pattern recognition, web-scrapping (e.g. OpenStreetMap), regex Data mining
Machine learning
ENS de Lyon, MSc Economics, 24h AMSE, PhD Economics, 12h
2019 - Present 2019 - Present This course introduces statistical learning models for economic research. It provides a comprehensive under- standing of the most capable supervised learning algorithms such as random forest, boosted models, support vector machines, neural networks or convolutional networks. Every algorithm is solved mathematically and implemented from scratch in R. Applications focus on predictive modelling for spatial economics applications.
Econometrics
ENS de Lyon, MSc Economics, 24h
Université de Lyon, MSc Economics, 18h 2019 - Present
2016 - 2021 This course introduces multivariate regression and statistical inference, and focuses on practical estimation issues such as heteroscedasticity, spatial autocorrelation, multicolinearity and endogeneity. For each issue, a variety of statistical tests and alternative estimators such as GLS, 2SLS are used. Every estimator is solved mathematically and implemented from scratch in R. Applications are derived from various research papers.
Macroeconomics
Université de Lyon, BSc Economics, 24h 2016 - 2017
This course introduces the ASAD model to study supply-side effects of macroeconomic policy. The model is used to analyse the implications of various forms of government intervention on the ouptut and price levels, using Okun’s law and Phillip’s curve. Building on this, a simplified DSGE model is used to analyse central banks’
response to various shocks to maintain target growth and inflation rates.
Tutorials
Université de Lyon, BSc Economics, 24h 2013 - 2017
Macroeconomics first year introduces the multiplier and ISLM models. Starting with the ISLM-BP model, internal finance third year focuses on the short (IRP) and long term (PPP) determinants of exchange rates and its volatility (Dornbusch). International trade third year analyses the implications of the Ricardo and HOS models and presents the empirical gravity model.
Interests
Econometrics, machine learning, programming, geographical information systems
Teaching
IDEA, Nice, 2018 IDEA, Chapel Hill, 2017
Econ. of innovation, Grenoble, 2016
ERSA, Vienna, 2016
Geo. of innovation, Toulouse, 2016 ASRDLF, Montpellier, 2015
Journées proximité, Tours, 2015 Geo. of innovation, Utrecht, 2014.
Conferences
Seminars & workshops
University of Barcelona, 2014 - 2015 (6 months) Visiting
CNIS, Paris, 2019 Rés-EAUx, Paris, 2018 ENSSIB, Lyon, 2018
GATE LSE 2014, 2016, 2017, 2018 Spatial economics, Geneva, 2017 GREDEG, Nice, 2017
GAEL, Grenoble, 2017 EDSEG, Lyon, 2016 AQR-IREA, Barcelona, 2014
Main libs. data.table, future, imager, sf, raster, Rcpp, tidyverse
Main libs. numpy, pandas, skimage, openCV, sklearn, keras, TensorFlow
Python 3 years
Occasional use for optimisation and batch processing
Bash, C++, Julia, SQL
Git, Docker, LaTeX, Markdown, QGIS, Stata, Sublime, VSCode
Others tools, languages & softwares
R 7 years
Programming code
English Fluent
Cambridge C2 Proficiency
French Native
Spanish Advanced
Languages globe-europe
Updated on August 13, 2020
