I produce original research in monetary economics and macroeconomics for central bankers, institutional investors and academia. My work is concise, unique, relevant and readable.**Monetary institutions** I am at the leading edge in global conversations on the central issues facing today's monetary and banking system.- Extensive knowledge of monetary policy in the US, China, the Eurozone and elsewhere.- Deep understanding of the central banking community.- Unique expertise in the dynamics of financial crises.- Nuanced grasp on monetary innovations, domestic and cross-border CBDCs, tokenization and programmable contracts.**Economic modeling** I have fifteen years of experience in economic modeling and analysis.- Translate fluently between markets, regulatory and academic models of financial stability.- Big-picture thinking with actionable implications.- Ph.D-level training in statistics and econometrics.**Financial data** My work is relentlessly data-driven. All of my insights are constantly tested against a wide range of market and regulatory data flows.- Balance-sheet data from private financial institutions, central banks and international financial institutions.- Market data on rates and prices for all types of financial instrument.- Macroeconomic data from national accounts and financial accounts.- Transaction-level data from financial exchanges and market participants.

I use the tools of data science and economics to deliver client-focused quantitative results in a boutique risk management consulting practice.**Data Science** My work generates actionable and explainable insights from large and complex datasets, focused on time-sensitive and mission-critical estimation of balance-sheet risks.- Extensive experience with R, Python, bash and Excel and their package ecosystems.- Leverage dplyr toolchain in R for fast prototyping of data pipelines.- Build on numpy, scipy, pandas toolchain in python for matrix-centered applications.- Automate data flows using linux tools and AWS cloud technologies (ECC, S3).- Predictive analytics (machine learning) with TensorFlow.**Visualization** I create powerful visualizations to generate deep and intuitive insights on complex topics.- Expertise in R and ggplot using time series, qualitative, balance sheet and macroeconomic data.- Experience with matplotlib and Tableau.

Classes taught:- Intermediate macroeconomics- Economics of post-reform China- International trade and finance- Theoretical foundations of political economy

- Conceived and designed a new research program for INET on financial, monetary, and macroeconomics. Built a global network of researchers around new theoretical approaches to the financial system, motivated by the global financial crisis.- Created a broad intellectual vision for an approach to understanding the functioning, failure, and regulation of the financial system, and worked with internal stakeholders (communications, development) and with external economists to build the research program into a fully-fledged research program.- Reviewed and assessed prospective and ongoing research projects. Consulted with internal economists and external researchers on both substantive and administrative matters related to the research program.- Built INET's contacts and interaction among academic, official, and private institutions. Collaborated on research, education projects, events, and general institution-building with economists and others at all levels.- Traveled extensively in support of INET's research aims. Organized collaborations, conferences and workshops on four continents.- Conducted research in monetary and financial economics. Main areas of focus were 1) the market-based credit (or shadow banking) system; and 2) China's financial system.